Triple

T13606504
Position Surface form Disambiguated ID Type / Status
Subject Trapezus E325076 entity
Predicate knownAs P39 FINISHED
Object Trebizond E41325 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: Trebizond | Statement: [Trapezus, knownAs, Trebizond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trebizond
Context triple: [Trapezus, knownAs, Trebizond]
  • A. Selanik
    Selanik, known internationally as Thessaloniki, is a major historic port city in northern Greece that has long served as a cultural and commercial hub of the Balkans.
  • B. Trabzon chosen
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • C. Havsa
    Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
  • D. İznik
    İznik is a historic town in northwestern Turkey, renowned as the site of the First Council of Nicaea and for its rich Byzantine and Ottoman heritage.
  • E. Adapazarı
    Adapazarı is a city in northwestern Turkey that serves as the administrative center of Sakarya Province and is known for its agricultural production and regional commerce.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae394748190b6a0f9a085b7dea6 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.