Triple

T16632897
Position Surface form Disambiguated ID Type / Status
Subject Syunik Province E404118 entity
Predicate historicalRegionOf P915 FINISHED
Object Syunik E404118 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: Syunik | Statement: [Syunik Province, historicalRegionOf, Syunik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syunik
Context triple: [Syunik Province, historicalRegionOf, Syunik]
  • A. Syunik Province chosen
    Syunik Province is a southern region of Armenia known for its mountainous terrain, rich mineral resources, and strategic location bordering Iran and Azerbaijan.
  • 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. Vayots Dzor Province
    Vayots Dzor Province is a mountainous region in southeastern Armenia known for its ancient monasteries, wine production, and dramatic landscapes.
  • D. Abovyan
    Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
  • E. Tavush Province
    Tavush Province is a northeastern region of Armenia known for its forested mountains, monasteries, and border location with Georgia and Azerbaijan.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50bcbe88190a424a361ee885b0c completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:17 a.m.