Triple

T18272753
Position Surface form Disambiguated ID Type / Status
Subject Ray, Iran E437654 entity
Predicate mentionedIn P831 FINISHED
Object Avesta 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: Avesta | Statement: [Ray, Iran, mentionedIn, Avesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avesta
Context triple: [Ray, Iran, mentionedIn, Avesta]
  • 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. Psalter Pahlavi
    Psalter Pahlavi is a historical variant of the Pahlavi script used primarily in a Middle Persian translation of the Psalms, notable for its distinctive letter forms and limited manuscript tradition.
  • 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 (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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5004f0e7c8190a7206e193012a2d3 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.