Triple

T9055280
Position Surface form Disambiguated ID Type / Status
Subject Iranian mythology E216980 entity
Predicate hasSourceText P409 FINISHED
Object Yashts E85589 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: Yashts | Statement: [Iranian mythology, hasSourceText, Yashts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yashts
Context triple: [Iranian mythology, hasSourceText, Yashts]
  • A. Avesta chosen
    The Avesta is the primary collection of sacred scriptures of Zoroastrianism, containing hymns, liturgical texts, and religious teachings.
  • B. Avesta
    Avesta is a small industrial town in central Sweden known for its steel production heritage and location along the Dalälven River.
  • C. Shahnameh
    Shahnameh is an epic poem by Ferdowsi that recounts the mythological and historical past of Greater Iran and is considered one of the most important works of Persian literature.
  • D. Gaha Sattasai (Gāthā Saptashatī)
    Gaha Sattasai (Gāthā Saptashatī) is an ancient Indian anthology of 700 lyrical love and nature poems traditionally attributed to the Satavahana king Hāla.
  • E. Vedas
    The Vedas are a collection of ancient sacred texts composed in Sanskrit that form the foundational spiritual and philosophical scriptures of Hinduism.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:10 p.m.