Triple

T16608443
Position Surface form Disambiguated ID Type / Status
Subject Yasna E403504 entity
Predicate hasPart P35 FINISHED
Object Gathas 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: Gathas | Statement: [Yasna, hasPart, Gathas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gathas
Context triple: [Yasna, hasPart, Gathas]
  • 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. 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.
  • D. Book of Songs
    The Book of Songs is the oldest existing collection of Chinese poetry, comprising ancient songs and hymns that became a foundational classic of Confucian thought and Chinese literature.
  • E. Poésies sacrées
    Poésies sacrées is a collection of religious and devotional poems by the French poet Jean-Baptiste Rousseau, reflecting his turn toward spiritual themes.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36093901881909b85af47f75879a9 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aa79408190b395d4cd9c6c1cb7 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.