Triple

T876744
Position Surface form Disambiguated ID Type / Status
Subject University of Lisbon E18933 entity
Predicate hasInstitute P186 FINISHED
Object Institute of Geography and Spatial Planning of the University of Lisbon
The Institute of Geography and Spatial Planning of the University of Lisbon is a higher education and research institution specializing in geography, spatial planning, and related environmental and territorial studies.
E18933 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Institute of Geography and Spatial Planning of the University of Lisbon | Statement: [University of Lisbon, hasInstitute, Institute of Geography and Spatial Planning of the University of Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Institute of Geography and Spatial Planning of the University of Lisbon
Context triple: [University of Lisbon, hasInstitute, Institute of Geography and Spatial Planning of the University of Lisbon]
  • A. Academia das Ciências de Lisboa
    Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
  • B. ISCTE – University Institute of Lisbon
    ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
  • C. University of Lisbon
    The University of Lisbon is Portugal’s largest and one of its oldest public universities, renowned for its broad range of academic programs and major role in the country’s research and cultural life.
  • D. NOVA University Lisbon
    NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
  • E. University of Minho
    The University of Minho is a Portuguese public university known for its strong emphasis on research, innovation, and international collaboration across a wide range of academic disciplines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Institute of Geography and Spatial Planning of the University of Lisbon
Triple: [University of Lisbon, hasInstitute, Institute of Geography and Spatial Planning of the University of Lisbon]
Generated description
The Institute of Geography and Spatial Planning of the University of Lisbon is a higher education and research institution specializing in geography, spatial planning, and related environmental and territorial studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Institute of Geography and Spatial Planning of the University of Lisbon
Target entity description: The Institute of Geography and Spatial Planning of the University of Lisbon is a higher education and research institution specializing in geography, spatial planning, and related environmental and territorial studies.
  • A. Academia das Ciências de Lisboa
    Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
  • B. ISCTE – University Institute of Lisbon
    ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
  • C. University of Lisbon chosen
    The University of Lisbon is Portugal’s largest and one of its oldest public universities, renowned for its broad range of academic programs and major role in the country’s research and cultural life.
  • D. NOVA University Lisbon
    NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
  • E. University of Minho
    The University of Minho is a Portuguese public university known for its strong emphasis on research, innovation, and international collaboration across a wide range of academic disciplines.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acaf30a48190a10ed7fee464c444 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b854469c81908dc4a5c29ee140a4 completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b985298c8190b465ce0589cd2c24 completed March 4, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba46a2ec8190892404cb1f259cf0 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.