Triple

T8632603
Position Surface form Disambiguated ID Type / Status
Subject Armavir Province E204437 entity
Predicate bordersProvince P224 FINISHED
Object Ararat Province E731229 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: Ararat Province | Statement: [Armavir Province, bordersProvince, Ararat Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ararat Province
Context triple: [Armavir Province, bordersProvince, Ararat Province]
  • A. Ararat Province chosen
    Ararat Province is a region in central Armenia known for its fertile plains, vineyards, and proximity to the iconic Mount Ararat.
  • B. 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.
  • 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. Kars Province
    Kars Province is a northeastern region of Turkey known for its harsh winters, historic architecture, and strategic location bordering Armenia and Georgia.
  • 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 (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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4742a89081909f9f7b3621e50b40 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b6d2ec81909765ea1a368b090d completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:27 p.m.