Triple

T15647327
Position Surface form Disambiguated ID Type / Status
Subject სამხრეთ კავკასია E376214 entity
Predicate hasMajorCity P316 FINISHED
Object ერევანი E106494 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: ერევანი | Statement: [სამხრეთ კავკასია, hasMajorCity, ერევანი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ერევანი
Context triple: [სამხრეთ კავკასია, hasMajorCity, ერევანი]
  • A. Gyumri
    Gyumri is Armenia’s second-largest city, known for its rich cultural heritage, historic architecture, and resilience following the 1988 Spitak earthquake.
  • B. Yerevan, Armenia chosen
    Yerevan, Armenia is the capital and largest city of Armenia, known for its ancient history, distinctive pink tuff stone architecture, and location in the Ararat Valley near Mount Ararat.
  • C. Dilijan
    Dilijan is a picturesque spa town in Armenia’s Tavush Province, known for its forested landscapes, traditional architecture, and proximity to Dilijan National Park.
  • D. Vanadzor
    Vanadzor is the third-largest city of Armenia, known as an industrial and cultural center in the country's northern Lori Province.
  • E. Ijevan
    Ijevan is a town in northeastern Armenia known as the administrative center of the Tavush Province and noted for its surrounding forests, wine production, and historical sites.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.