Triple

T19625486
Position Surface form Disambiguated ID Type / Status
Subject Danishmend Gazi E471121 entity
Predicate burialPlace P196 FINISHED
Object Niksar 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: Niksar | Statement: [Danishmend Gazi, burialPlace, Niksar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niksar
Context triple: [Danishmend Gazi, burialPlace, Niksar]
  • A. Niksar chosen
    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
    Boğazköy is an important archaeological site in central Turkey best known as the location of Hattusa, the former capital of the Hittite Empire.
  • C. Kemerburgaz
    Kemerburgaz is a neighborhood and semi-rural residential area on the European side of Istanbul, known for its green surroundings and proximity to the Belgrad Forest.
  • D. Toprakkale
    Toprakkale is an ancient fortress and archaeological site in eastern Turkey that served as a significant center of the Iron Age Kingdom of Urartu.
  • E. Viranşehir
    Viranşehir is a town and district in southeastern Turkey known for its agricultural economy and location within Şanlıurfa Province near the Syrian border.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e9ff208190afb33c910ed2147b completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.