Triple

T18445306
Position Surface form Disambiguated ID Type / Status
Subject Artuqid forces E450638 entity
Predicate garrisonedIn P2911 FINISHED
Object Mardin 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: Mardin | Statement: [Artuqid forces, garrisonedIn, Mardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mardin
Context triple: [Artuqid forces, garrisonedIn, Mardin]
  • A. Mardin chosen
    Mardin is a historic city in southeastern Turkey known for its terraced stone architecture, diverse ethnic and religious heritage, and commanding views over the Mesopotamian plains.
  • B. Muş
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • 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. Milas
    Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
  • E. Bitlis
    Bitlis is a historic city in eastern Turkey known for its dramatic mountainous setting, medieval stone architecture, and strategic location along ancient trade routes.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c15127881909d23b6dd45d7ccc9 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.