Triple

T13411557
Position Surface form Disambiguated ID Type / Status
Subject Muş E320098 entity
Predicate governingBody P46 FINISHED
Object Muş Municipality E320098 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: Muş Municipality | Statement: [Muş, governingBody, Muş Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muş Municipality
Context triple: [Muş, governingBody, Muş Municipality]
  • A. Muş chosen
    Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
  • B. Osmaneli Municipality
    Osmaneli Municipality is the local governing body of the town of Osmaneli in northwestern Turkey, responsible for providing municipal services within Bilecik Province.
  • C. Muş Province
    Muş Province is an eastern Turkish province known for its mountainous terrain, harsh continental climate, and predominantly Kurdish population.
  • D. Aliağa Municipality
    Aliağa Municipality is the local government authority responsible for administering public services and urban management in the coastal industrial district of Aliağa in western Turkey.
  • E. Murat district
    Murat district is the central historic and commercial heart of Bari, Italy, known for its 19th-century grid layout, elegant boulevards, and major shopping streets.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73987cc088190839e8a589086639c completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:35 p.m.