Triple

T8962534
Position Surface form Disambiguated ID Type / Status
Subject Marmashen Monastery E214042 entity
Predicate locatedIn P40 FINISHED
Object Shirak Province E299892 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: Shirak Province | Statement: [Marmashen Monastery, locatedIn, Shirak Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirak Province
Context triple: [Marmashen Monastery, locatedIn, Shirak Province]
  • 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. 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. 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.
  • 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. Gegharkunik Province
    Gegharkunik Province is a region in eastern Armenia best known for encompassing Lake Sevan, one of the largest high-altitude freshwater lakes in the world.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6749e5008190a01f42a2e772dd54 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94e088881909506b229d1fff44a completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.