Triple

T22731717
Position Surface form Disambiguated ID Type / Status
Subject Lake Van region E562149 entity
Predicate hasPart P35 FINISHED
Object Ahlat town NE NERFINISHED

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: Ahlat town | Statement: [Lake Van region, hasPart, Ahlat town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahlat town
Context triple: [Lake Van region, hasPart, Ahlat town]
  • A. Ahlat chosen
    Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
  • B. Akhtala town
    Akhtala town is a small settlement in northern Armenia known for its historic monastery and surrounding mountainous landscapes.
  • C. Tuzlukçu town
    Tuzlukçu town is a small municipal settlement in Turkey that serves as the local administrative and population center of the Tuzlukçu district.
  • D. Kağızman town
    Kağızman town is a small settlement in northeastern Turkey’s Kars Province, known for its agricultural production and its location along the Aras River valley.
  • E. Emirgazi town
    Emirgazi town is a small municipal settlement in central Turkey that serves as the local administrative and population center of the Emirgazi district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792de040819093aa904bf751a788 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.