Triple

T13768191
Position Surface form Disambiguated ID Type / Status
Subject Hrazdan River E330805 entity
Predicate locatedIn P40 FINISHED
Object Kotayk Province E301406 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: Kotayk Province | Statement: [Hrazdan River, locatedIn, Kotayk Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotayk Province
Context triple: [Hrazdan River, locatedIn, 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. 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. Ararat Province
    Ararat Province is a region in central Armenia known for its fertile plains, vineyards, and proximity to the iconic Mount Ararat.
  • 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. 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.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.