Triple

T14169687
Position Surface form Disambiguated ID Type / Status
Subject Aksaray E351172 entity
Predicate locatedNear P294 FINISHED
Object Niğde E315498 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: Niğde | Statement: [Aksaray, locatedNear, Niğde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niğde
Context triple: [Aksaray, locatedNear, Niğde]
  • A. Niğde chosen
    Niğde is a historic city in south-central Turkey known for its ancient ruins, Seljuk and Ottoman architecture, and its location near the Taurus Mountains and Cappadocia.
  • B. Neyriz
    Neyriz is a historic city in southern Iran known for its ancient mosque, traditional handicrafts, and location near the margins of the Zagros Mountains.
  • C. Kermanshah
    Kermanshah is a major city in western Iran known for its rich Kurdish culture and proximity to important historical and archaeological sites.
  • D. Ardabil
    Ardabil is a historic city in northwestern Iran known for its cultural heritage, including the UNESCO-listed Sheikh Safi al-Din Khānegāh and Shrine Ensemble.
  • E. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.