Triple

T9294568
Position Surface form Disambiguated ID Type / Status
Subject Turkish Gendarmerie E223607 entity
Predicate shortName P43 FINISHED
Object Jandarma E223607 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: Jandarma | Statement: [Turkish Gendarmerie, shortName, Jandarma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jandarma
Context triple: [Turkish Gendarmerie, shortName, Jandarma]
  • A. Turkish Gendarmerie chosen
    The Turkish Gendarmerie is a national military law enforcement agency responsible for maintaining public order, security, and law enforcement in rural areas of Turkey.
  • B. Silahdar
    Silahdar is an Ottoman honorific title historically given to high-ranking officials who served as the sultan’s sword-bearer and close military aide.
  • C. Kasdim
    Kasdim is the Hebrew term for the Chaldeans, an ancient people of southern Mesopotamia associated with the Neo-Babylonian Empire.
  • D. Gendarm
    Gendarm is a minor subpeak on the Breithorn massif in the Pennine Alps, known primarily to mountaineers and climbers traversing the ridge.
  • E. Polatlı
    Polatlı is a town and district in central Turkey known for its agricultural economy and its proximity to the historic Battle of Sakarya site.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd089a2ed0819086b2e4219ff2453e completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b248f99c8190a617b1d676799c75 completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:35 p.m.