Triple

T20200608
Position Surface form Disambiguated ID Type / Status
Subject Greater Armenia E493206 entity
Predicate capital P234 FINISHED
Object Dvin 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: Dvin | Statement: [Greater Armenia, capital, Dvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dvin
Context triple: [Greater Armenia, capital, Dvin]
  • A. Dvin chosen
    Dvin was a major medieval Armenian city that served as a political, economic, and religious center and at times as the capital of Armenia.
  • B. Vagharshapat
    Vagharshapat is a historic Armenian city that serves as the spiritual center of the Armenian Apostolic Church and is home to several of the country’s most important religious and cultural monuments.
  • C. Yeghvard
    Yeghvard is a town in Armenia known for its historic churches and location within the central Kotayk Province.
  • D. Tatev
    Tatev is a historic Armenian village best known for its medieval Tatev Monastery and dramatic location atop a deep gorge in Syunik Province.
  • E. Artashat (Armenia)
    Artashat is a historic town in Armenia, located in the Ararat Province, known as one of the country’s ancient capitals and a regional cultural center.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.