Triple

T18734658
Position Surface form Disambiguated ID Type / Status
Subject Üçyol station E458128 entity
Predicate servesNeighborhood P82 FINISHED
Object Üçyol
Üçyol is a neighborhood in İzmir, Turkey, known for its central location and access to the city’s metro system.
E1339581 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: Üçyol | Statement: [Üçyol station, servesNeighborhood, Üçyol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Üçyol
Context triple: [Üçyol station, servesNeighborhood, Üçyol]
  • A. Tretten
    Tretten is a village in Innlandet county, Norway, known as the main settlement in the Øyer municipality along the Gudbrandsdalslågen river.
  • B. Three Way
    Three Way is a small unincorporated community in Texas, United States.
  • C. Trzyciąż
    Trzyciąż is a village in southern Poland that serves as the administrative center of the surrounding Gmina Trzyciąż in Lesser Poland Voivodeship.
  • D. Trilistnika
    Trilistnika is one of Bulgaria’s Seven Rila Lakes, a high-altitude glacial lake in the Rila Mountains known for its distinctive clover-like shape.
  • E. Troistín
    Troistín is the Irish-language name for Trostan, the highest mountain in County Antrim, Northern Ireland.
  • 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: Üçyol
Triple: [Üçyol station, servesNeighborhood, Üçyol]
Generated description
Üçyol is a neighborhood in İzmir, Turkey, known for its central location and access to the city’s metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Üçyol
Target entity description: Üçyol is a neighborhood in İzmir, Turkey, known for its central location and access to the city’s metro system.
  • A. Tretten
    Tretten is a village in Innlandet county, Norway, known as the main settlement in the Øyer municipality along the Gudbrandsdalslågen river.
  • B. Three Way
    Three Way is a small unincorporated community in Texas, United States.
  • C. Trzyciąż
    Trzyciąż is a village in southern Poland that serves as the administrative center of the surrounding Gmina Trzyciąż in Lesser Poland Voivodeship.
  • D. Trilistnika
    Trilistnika is one of Bulgaria’s Seven Rila Lakes, a high-altitude glacial lake in the Rila Mountains known for its distinctive clover-like shape.
  • E. Troistín
    Troistín is the Irish-language name for Trostan, the highest mountain in County Antrim, Northern Ireland.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7a06788190a8e09c657aaeb8e5 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05325fae0c8190a7f1a726ad86e3b6 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a0532ce7c388190a8d6b2d83ec52354 completed May 14, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a053363f09c8190a7927345f1d027b3 completed May 14, 2026, 2:28 a.m.
Created at: April 10, 2026, 11:51 a.m.