Triple

T20149049
Position Surface form Disambiguated ID Type / Status
Subject Sinop Fortress Prison E491384 entity
Predicate locatedNear P294 FINISHED
Object Sinop harbor 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 harbor | Statement: [Sinop Fortress Prison, locatedNear, Sinop harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinop harbor
Context triple: [Sinop Fortress Prison, locatedNear, Sinop harbor]
  • A. 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.
  • B. Sinop
    Sinop is a major agricultural and commercial city in the northern region of the Brazilian state of Mato Grosso.
  • C. Sevastopol Bay
    Sevastopol Bay is a strategic natural harbor on the Black Sea in Crimea, known for its naval history and role as the main base of the Russian Black Sea Fleet.
  • D. Port of Trabzon
    The Port of Trabzon is a key Black Sea maritime hub in northeastern Turkey, serving as an important gateway for regional trade and transportation.
  • E. Port of Samsun
    The Port of Samsun is a major Black Sea maritime hub in northern Turkey, serving as an important center for regional trade, logistics, and transportation.
  • 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.