Triple

T21238472
Position Surface form Disambiguated ID Type / Status
Subject Shirak State University E523408 entity
Predicate regionServed P82 FINISHED
Object Shirak 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: Shirak region | Statement: [Shirak State University, regionServed, Shirak region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirak region
Context triple: [Shirak State University, regionServed, Shirak region]
  • A. Shirak Province chosen
    Shirak Province is a region in northwestern Armenia known for its historic city of Gyumri, cultural heritage, and proximity to the Turkish border.
  • B. Sasun region
    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.”
  • C. 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.
  • 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. Vayots Dzor Province
    Vayots Dzor Province is a mountainous region in southeastern Armenia known for its ancient monasteries, wine production, and dramatic landscapes.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73521eb7c8190b1b97b42d0d052c3 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.