Triple

T21764081
Position Surface form Disambiguated ID Type / Status
Subject Western Armenia E537233 entity
Predicate contains P35 FINISHED
Object Sasun region 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: Sasun region | Statement: [Western Armenia, contains, Sasun region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasun region
Context triple: [Western Armenia, contains, Sasun region]
  • A. Sasun region chosen
    The Sasun region is a mountainous area in historical Western Armenia, renowned as the legendary homeland of the folk heroes in the Armenian epic “Daredevils of Sassoun.”
  • B. Syunik Province
    Syunik Province is a southern region of Armenia known for its mountainous terrain, rich mineral resources, and strategic location bordering Iran and Azerbaijan.
  • C. Serugh region
    The Serugh region is a historical area in Upper Mesopotamia, associated with early Syriac Christianity and figures such as the theologian Jacob of Serugh.
  • D. Tavush Province
    Tavush Province is a northeastern region of Armenia known for its forested mountains, monasteries, and border location with Georgia and Azerbaijan.
  • E. Kotayk Province
    Kotayk Province is a central region of Armenia known for its mountainous landscapes, historic monasteries like Geghard, and the popular resort town of Tsaghkadzor.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a8a7f08190a4e50ebc24219585 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.