Triple

T3305213
Position Surface form Disambiguated ID Type / Status
Subject President of Armenia E69431 entity
Predicate seat P75 FINISHED
Object Yerevan 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: Yerevan | Statement: [President of Armenia, seat, Yerevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerevan
Context triple: [President of Armenia, seat, Yerevan]
  • 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. Gyumri
    Gyumri is Armenia’s second-largest city, known for its rich cultural heritage, historic architecture, and resilience following the 1988 Spitak earthquake.
  • 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. 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.
  • E. Erivan uezd
    Erivan uezd was an administrative district of the Russian Empire located within the Erivan Governorate in the South Caucasus region.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a71b56c8190bb30eaada02ebdb5 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.