Triple

T15530536
Position Surface form Disambiguated ID Type / Status
Subject Argichi River E370201 entity
Predicate locatedIn P40 FINISHED
Object Gegharkunik Province E346650 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: Gegharkunik Province | Statement: [Argichi River, locatedIn, Gegharkunik Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gegharkunik Province
Context triple: [Argichi River, locatedIn, Gegharkunik Province]
  • A. Gegharkunik Province chosen
    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.
  • 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. Vayots Dzor Province
    Vayots Dzor Province is a mountainous region in southeastern Armenia known for its ancient monasteries, wine production, and dramatic landscapes.
  • D. Shirak Province
    Shirak Province is a region in northwestern Armenia known for its historic city of Gyumri, cultural heritage, and proximity to the Turkish border.
  • E. Aragatsotn Province
    Aragatsotn Province is a region in western Armenia known for its mountainous landscapes, historical monasteries, and agricultural communities.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.