Triple

T21201407
Position Surface form Disambiguated ID Type / Status
Subject Zoroastrian priesthood E522462 entity
Predicate maintains P1580 FINISHED
Object Atash Adaran 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: Atash Adaran | Statement: [Zoroastrian priesthood, maintains, Atash Adaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atash Adaran
Context triple: [Zoroastrian priesthood, maintains, Atash Adaran]
  • A. Cathedral of Shirakavan
    The Cathedral of Shirakavan was a prominent medieval Armenian church known for its architectural and religious significance in the historic region of Shirakavan.
  • B. Atashgah
    Atashgah is a historic Zoroastrian fire temple, most famously associated with the ancient religious complex near Baku, Azerbaijan.
  • C. Matenadaran
    Matenadaran is a renowned museum and research institute in Yerevan that houses one of the world’s richest collections of ancient manuscripts and books.
  • D. Atash Behram chosen
    Atash Behram is the highest grade of sacred fire in Zoroastrianism, enshrined in major fire temples and venerated as a powerful symbol of divine purity and spiritual presence.
  • E. Yervandashat
    Yervandashat was an ancient city that served as one of the royal capitals of the historical Kingdom of Armenia.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.