Triple

T21844118
Position Surface form Disambiguated ID Type / Status
Subject Yima E539330 entity
Predicate appearsIn P795 FINISHED
Object Yasna 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: Yasna | Statement: [Yima, appearsIn, Yasna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yasna
Context triple: [Yima, appearsIn, Yasna]
  • A. Yasna chosen
    Yasna is a central Zoroastrian liturgical ceremony and its associated collection of sacred texts, forming one of the core sections of the Avesta.
  • B. Mahneshan
    Mahneshan is a small city in northwestern Iran known for its rural surroundings and location within Zanjan Province.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Esfarayen
    Esfarayen is a city in North Khorasan Province in northeastern Iran, known for its historical background and regional agricultural activities.
  • E. Maʻdān
    The Maʻdān, also known as the Marsh Arabs, are an indigenous people of southern Iraq traditionally living in the Mesopotamian marshlands and known for their unique water-based culture, reed houses, and buffalo herding.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd5248f08190ba208512eafbe7ad completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.