Triple

T13251128
Position Surface form Disambiguated ID Type / Status
Subject M1 line E315531 entity
Predicate serves P98 FINISHED
Object Çankaya district E301865 NE FINISHED

How this triple was built (2 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: Çankaya district | Statement: [M1 line, serves, Çankaya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çankaya district
Context triple: [M1 line, serves, Çankaya district]
  • A. Şişli district
    Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
  • B. Kağıthane district
    Kağıthane district is an urban area on the European side of Istanbul, Turkey, known for its rapid modernization and mixed residential and commercial neighborhoods.
  • C. Bayrampaşa district
    Bayrampaşa district is a densely populated working- and middle-class district on the European side of Istanbul, known for its industrial areas, major transport hubs, and large bus terminal.
  • D. Çankaya chosen
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • E. Altındağ district
    Altındağ district is a central urban area of Ankara, Turkey, known for its historic neighborhoods, cultural sites, and dense residential development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c288c08190af46fe7d114df338 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:24 p.m.