Triple

T10321687
Position Surface form Disambiguated ID Type / Status
Subject Tur Abdin E242151 entity
Predicate locatedIn P40 FINISHED
Object Şırnak Province E326285 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: Şırnak Province | Statement: [Tur Abdin, locatedIn, Şırnak Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şırnak Province
Context triple: [Tur Abdin, locatedIn, Şırnak Province]
  • A. Muş Province
    Muş Province is an eastern Turkish province known for its mountainous terrain, harsh continental climate, and predominantly Kurdish population.
  • B. Şırnak chosen
    Şırnak is a predominantly Kurdish city in southeastern Turkey, known as a provincial capital near the borders with Iraq and Syria.
  • C. Kilis Province
    Kilis Province is a small, predominantly agricultural border province in south-central Turkey, located along the Syrian frontier and known for its strategic position and cross-border trade.
  • D. Bingöl Province
    Bingöl Province is an eastern Turkish province known for its mountainous landscape, Kurdish and Zaza populations, and rich local culture.
  • E. Adıyaman Province
    Adıyaman Province is a region in southeastern Turkey known for its rich historical heritage, including the nearby Mount Nemrut archaeological site, and its role in major infrastructure projects such as the Atatürk Dam.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018324bf88190bcd2bf168b1065d3 completed April 28, 2026, 2:15 a.m.
Created at: April 6, 2026, 11:50 a.m.