Triple

T8879907
Position Surface form Disambiguated ID Type / Status
Subject Boğazköy E211382 entity
Predicate locatedNear P294 FINISHED
Object Boğazkale E211382 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: Boğazkale | Statement: [Boğazköy, locatedNear, Boğazkale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boğazkale
Context triple: [Boğazköy, locatedNear, Boğazkale]
  • A. Niksar
    Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
  • B. Boğazköy chosen
    Boğazköy is an important archaeological site in central Turkey best known as the location of Hattusa, the former capital of the Hittite Empire.
  • C. Güzelyurt
    Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
  • D. Adapazarı
    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.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61677c9c8190aa09dc2a05d4cf95 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0171e98a081909875c96defaf9bfa completed April 3, 2026, 7:38 p.m.
Created at: March 30, 2026, 6:52 p.m.