Triple

T20149117
Position Surface form Disambiguated ID Type / Status
Subject Sinop Fortress E491385 entity
Predicate locatedInMunicipality P40 FINISHED
Object Sinop Municipality 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: Sinop Municipality | Statement: [Sinop Fortress, locatedInMunicipality, Sinop Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinop Municipality
Context triple: [Sinop Fortress, locatedInMunicipality, Sinop Municipality]
  • A. Sinop Province
    Sinop Province is a Black Sea coastal province in northern Turkey known for its historic port city of Sinop, natural landscapes, and maritime heritage.
  • B. Sinop
    Sinop is a major agricultural and commercial city in the northern region of the Brazilian state of Mato Grosso.
  • C. Sinop chosen
    Sinop is a historic port city on Turkey’s Black Sea coast, long valued for its strategic harbor and role in regional trade and defense.
  • D. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • E. Kars Municipality
    Kars Municipality is the local government authority responsible for administering public services, urban planning, and municipal affairs in the city of Kars, Turkey.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667a0c0e881909a4f21a5d22973d2 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.