Triple

T19101365
Position Surface form Disambiguated ID Type / Status
Subject Aragatsotn Province E467537 entity
Predicate borders P224 FINISHED
Object Kotayk Province 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: Kotayk Province | Statement: [Aragatsotn Province, borders, Kotayk Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotayk Province
Context triple: [Aragatsotn Province, borders, Kotayk Province]
  • A. Kotayk Province chosen
    Kotayk Province is a central region of Armenia known for its mountainous landscapes, historic monasteries like Geghard, and the popular resort town of Tsaghkadzor.
  • B. Vayots Dzor Province
    Vayots Dzor Province is a mountainous region in southeastern Armenia known for its ancient monasteries, wine production, and dramatic landscapes.
  • 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. Ararat Province
    Ararat Province is a region in central Armenia known for its fertile plains, vineyards, and proximity to the iconic Mount Ararat.
  • 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 (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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.