Triple

T8366139
Position Surface form Disambiguated ID Type / Status
Subject Sassoun E197130 entity
Predicate partOf P40 FINISHED
Object Bitlis Vilayet E254588 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: Bitlis Vilayet | Statement: [Sassoun, partOf, Bitlis Vilayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitlis Vilayet
Context triple: [Sassoun, partOf, Bitlis Vilayet]
  • A. Bitlis Vilayet chosen
    Bitlis Vilayet was an Ottoman Empire provincial administrative region in eastern Anatolia, historically home to diverse ethnic and religious communities and later a major site of mass violence during World War I.
  • B. Muş Province
    Muş Province is an eastern Turkish province known for its mountainous terrain, harsh continental climate, and predominantly Kurdish population.
  • C. Hakkâri
    Hakkâri is a mountainous city in southeastern Turkey near the borders with Iraq and Iran, known for its rugged terrain and predominantly Kurdish population.
  • D. Bingöl Province
    Bingöl Province is an eastern Turkish province known for its mountainous landscape, Kurdish and Zaza populations, and rich local culture.
  • E. Bitlis
    Bitlis is a historic city in eastern Turkey known for its dramatic mountainous setting, medieval stone architecture, and strategic location along ancient trade routes.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808cf80c8190941c3cc0248a5df2 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce395d11748190b7568be1d43d7859 completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 6 p.m.