Triple

T3608868
Position Surface form Disambiguated ID Type / Status
Subject University of Coimbra E76435 entity
Predicate hasCampus P116 FINISHED
Object Pólo III
Pólo III is the University of Coimbra’s modern health and science campus, housing its medical, pharmaceutical, and research facilities.
 E374188 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: Pólo III | Statement: [University of Coimbra, hasCampus, Pólo III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pólo III
Context triple: [University of Coimbra, hasCampus, Pólo III]
  • A. Pola
    Pola is a historic coastal city on the Istrian Peninsula, known today as Pula in Croatia and famed for its well-preserved Roman amphitheater.
  • B. Poga
    Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
  • C. Pól
    Pól is the Irish-language form of the given name Paul.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • 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: Pólo III
Triple: [University of Coimbra, hasCampus, Pólo III]
Generated description
Pólo III is the University of Coimbra’s modern health and science campus, housing its medical, pharmaceutical, and research facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pólo III
Target entity description: Pólo III is the University of Coimbra’s modern health and science campus, housing its medical, pharmaceutical, and research facilities.
  • A. Pola
    Pola is a historic coastal city on the Istrian Peninsula, known today as Pula in Croatia and famed for its well-preserved Roman amphitheater.
  • B. Poga
    Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
  • C. Pól
    Pól is the Irish-language form of the given name Paul.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • F. None of above. chosen

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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.