Triple

T16067296
Position Surface form Disambiguated ID Type / Status
Subject Spitak E389765 entity
Predicate locatedNear P294 FINISHED
Object Vanadzor E53114 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: Vanadzor | Statement: [Spitak, locatedNear, Vanadzor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanadzor
Context triple: [Spitak, locatedNear, Vanadzor]
  • A. Vanadzor chosen
    Vanadzor is the third-largest city of Armenia, known as an industrial and cultural center in the country's northern Lori Province.
  • 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. Sheki
    Sheki is a historic city in northwestern Azerbaijan, renowned for its preserved Silk Road-era architecture, caravanserais, and rich culinary traditions.
  • D. 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.
  • E. Dvin
    Dvin was a major medieval Armenian city that served as a political, economic, and religious center and at times as the capital of Armenia.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183baf29481908e5c66879e125363 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe480d59c8190962ac596a872b5e0 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.