Triple

T10371955
Position Surface form Disambiguated ID Type / Status
Subject Goshavank Monastery E244404 entity
Predicate locatedIn P40 FINISHED
Object Dilijan region E244405 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: Dilijan region | Statement: [Goshavank Monastery, locatedIn, Dilijan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dilijan region
Context triple: [Goshavank Monastery, locatedIn, Dilijan region]
  • A. 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.”
  • B. Tavush Province
    Tavush Province is a northeastern region of Armenia known for its forested mountains, monasteries, and border location with Georgia and Azerbaijan.
  • 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. Dilijan chosen
    Dilijan is a picturesque spa town in Armenia’s Tavush Province, known for its forested landscapes, traditional architecture, and proximity to Dilijan National Park.
  • 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 (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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97ed09c8190a3627aa7b5eea62f completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbac97ce2481908ea11d6290a9bf2f completed April 12, 2026, 2:30 p.m.
Created at: April 6, 2026, 12:01 p.m.