Triple

T16067691
Position Surface form Disambiguated ID Type / Status
Subject Toyota Motor Manufacturing Turkey E389773 entity
Predicate location P40 FINISHED
Object Adapazarı E445168 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: Adapazarı | Statement: [Toyota Motor Manufacturing Turkey, location, Adapazarı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adapazarı
Context triple: [Toyota Motor Manufacturing Turkey, location, Adapazarı]
  • A. Adapazarı chosen
    Adapazarı is a city in northwestern Turkey that serves as the administrative center of Sakarya Province and is known for its agricultural production and regional commerce.
  • B. Mustafakemalpaşa
    Mustafakemalpaşa is a town and district in northwestern Turkey known for its agricultural production and historical connection to Mustafa Kemal Atatürk.
  • C. Eskişehir
    Eskişehir is a major university and industrial city in northwestern Turkey, known for its vibrant student life, modern urban design, and rich cultural heritage.
  • D. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • E. Karabük
    Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183baf29481908e5c66879e125363 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009183a94081909c5892b1ccbc1d7a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 4:57 a.m.