Triple

T555002
Position Surface form Disambiguated ID Type / Status
Subject Armenia E11923 entity
Predicate largestCity P235 FINISHED
Object Yerevan E14586 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: Yerevan | Statement: [Armenia, largestCity, Yerevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerevan
Context triple: [Armenia, largestCity, Yerevan]
  • A. 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.
  • B. Vanadzor
    Vanadzor is the third-largest city of Armenia, known as an industrial and cultural center in the country's northern Lori Province.
  • C. Tbilisi
    Tbilisi is the largest city and cultural, political, and economic center of Georgia, located on the banks of the Kura River in the South Caucasus.
  • D. Erivan Governorate chosen
    Erivan Governorate was an administrative division of the Russian Empire in the South Caucasus, centered on the city of Erivan (modern Yerevan) and largely corresponding to present-day western Armenia.
  • E. Batumi
    Batumi is a major Black Sea resort city in southwestern Georgia known for its beaches, modern skyline, and role as a regional economic and cultural hub.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991dd7008190a6c1bc8bc832456d completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e632e7c48190b211f7fcc4903dea completed March 2, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:32 p.m.