Triple

T14035732
Position Surface form Disambiguated ID Type / Status
Subject Pangrati E337705 entity
Predicate near P350 FINISHED
Object Ilisia
Ilisia is a central neighborhood of Athens, Greece, known for its residential character, proximity to major universities, and easy access to cultural and commercial areas.
 E1076869 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: Ilisia | Statement: [Pangrati, near, Ilisia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilisia
Context triple: [Pangrati, near, Ilisia]
  • A. Ilisan
    Ilisan is a prominent town in the Remo region of Ogun State, southwestern Nigeria, known for its role as a local commercial and educational center.
  • B. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • C. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • D. Istiaia
    Istiaia is a notable town in northern Euboea, Greece, known historically as a local administrative and commercial center on the island.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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: Ilisia
Triple: [Pangrati, near, Ilisia]
Generated description
Ilisia is a central neighborhood of Athens, Greece, known for its residential character, proximity to major universities, and easy access to cultural and commercial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilisia
Target entity description: Ilisia is a central neighborhood of Athens, Greece, known for its residential character, proximity to major universities, and easy access to cultural and commercial areas.
  • A. Ilisan
    Ilisan is a prominent town in the Remo region of Ogun State, southwestern Nigeria, known for its role as a local commercial and educational center.
  • B. Esla
    The Esla is a major river in northwestern Spain that flows through the provinces of León and Zamora before joining the Duero.
  • C. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • D. Istiaia
    Istiaia is a notable town in northern Euboea, Greece, known historically as a local administrative and commercial center on the island.
  • E. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc339d53c8190a9cd7027a716ff5f completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc6888b648190866c77296625a4c4 completed May 6, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69fbc6ead8cc8190b4ae3ba99dc52934 completed May 6, 2026, 10:55 p.m.
Created at: April 9, 2026, 10:20 p.m.