Triple

T22250798
Position Surface form Disambiguated ID Type / Status
Subject Ottoman occupation of eastern Anatolia E549970 entity
Predicate territoryIncludes P285 FINISHED
Object Van 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: Van | Statement: [Ottoman occupation of eastern Anatolia, territoryIncludes, Van]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van
Context triple: [Ottoman occupation of eastern Anatolia, territoryIncludes, Van]
  • A. Van chosen
    Van is a historic city in eastern Anatolia, known as a major cultural and political center of ancient and medieval Armenian civilization on the shores of Lake Van.
  • B. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • C. Bron
    Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
  • D. San
    The San are an indigenous hunter-gatherer people of Southern Africa, known for their ancient rock art, click-based languages, and deep ecological knowledge of the Kalahari region.
  • E. Va
    Va is the autonym of the Wa people, an ethnic group primarily inhabiting the mountainous border regions of Myanmar and China.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138bd45e88190919660d50c0b94bc completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.