Triple

T19587360
Position Surface form Disambiguated ID Type / Status
Subject Yerevan Metro E470137 entity
Predicate serves P98 FINISHED
Object Yerevan urban area 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: Yerevan urban area | Statement: [Yerevan Metro, serves, Yerevan urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerevan urban area
Context triple: [Yerevan Metro, serves, Yerevan urban area]
  • A. 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.
  • B. Armenia metropolitan area
    The Armenia metropolitan area is an urban region in Colombia centered on the city of Armenia, known for its role in the Coffee Cultural Landscape and its cultural institutions.
  • C. Gyumri
    Gyumri is Armenia’s second-largest city, known for its rich cultural heritage, historic architecture, and resilience following the 1988 Spitak earthquake.
  • D. Ararat Yerevan
    Ararat Yerevan is a prominent Armenian football club from Yerevan, historically known as one of the leading teams in Soviet and Armenian football.
  • E. 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.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64052f61c81908bb49927d4246030 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.