Triple

T13251196
Position Surface form Disambiguated ID Type / Status
Subject Kızılay E315533 entity
Predicate partOf P40 FINISHED
Object city center of Ankara 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: city center of Ankara | Statement: [Kızılay, partOf, city center of Ankara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city center of Ankara
Context triple: [Kızılay, partOf, city center of Ankara]
  • A. Ankara Metropolitan Municipality
    Ankara Metropolitan Municipality is the primary local government authority responsible for administering and providing public services across Turkey’s capital city, Ankara.
  • B. Ankara
    Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
  • C. Çankaya chosen
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • D. Etimesgut
    Etimesgut is a rapidly growing suburban district and municipality on the western side of Ankara, Turkey’s capital city.
  • E. Konak district
    Konak district is the central urban and administrative heart of İzmir, Turkey, known for its historic landmarks, bustling waterfront, and role as the city’s main commercial and cultural hub.
  • 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_69f716c6797c819090bfcc9a5b62ac1c completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:24 p.m.