Triple

T19101362
Position Surface form Disambiguated ID Type / Status
Subject Aragatsotn Province E467537 entity
Predicate administrativeCenter P1474 FINISHED
Object Ashtarak 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: Ashtarak | Statement: [Aragatsotn Province, administrativeCenter, Ashtarak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashtarak
Context triple: [Aragatsotn Province, administrativeCenter, Ashtarak]
  • A. Ashtarak chosen
    Ashtarak is a historic town in western Armenia known for its medieval churches, traditional architecture, and role as a regional cultural center.
  • B. Ashta
    Ashta is a legislative assembly constituency in the Sehore district of the central Indian state of Madhya Pradesh.
  • C. Dinarzad
    Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
  • D. Astaranga
    Astaranga is a coastal village and emerging tourist spot in Odisha, India, known for its scenic beaches and fishing community.
  • E. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.