Triple

T21789499
Position Surface form Disambiguated ID Type / Status
Subject East Anatolian Fault E537931 entity
Predicate nearbyCity P350 FINISHED
Object Malatya 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: Malatya | Statement: [East Anatolian Fault, nearbyCity, Malatya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malatya
Context triple: [East Anatolian Fault, nearbyCity, Malatya]
  • A. Malatya chosen
    Malatya is a major city in eastern Turkey known for its apricot production and role as a regional economic and cultural center.
  • B. Milas
    Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
  • C. Kilis
    Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
  • D. Cizre
    Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
  • E. Yüreğir
    Yüreğir is a metropolitan district and municipality of Adana Province in southern Turkey, located on the eastern bank of the Seyhan River and forming part of the city of Adana.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621ed2b481909e3df17aee9cd8f7 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.