Triple

T873876
Position Surface form Disambiguated ID Type / Status
Subject Rigveda E18873 entity
Predicate dedicatedToDeity P8132 FINISHED
Object Ushas E27251 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: Ushas | Statement: [Rigveda, dedicatedToDeity, Ushas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ushas
Context triple: [Rigveda, dedicatedToDeity, Ushas]
  • A. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • B. Isha
    Isha is the nightly Islamic prayer that is performed after dusk and marks the final of the five daily obligatory prayers in Islam.
  • C. Dawn chosen
    Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
  • D. Day of the Sun
    Day of the Sun is North Korea’s most important national holiday, marking the birth anniversary of founding leader Kim Il-sung with large-scale celebrations and state ceremonies.
  • E. Shuah
    Shuah is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had with Keturah.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84fb2d0819084c256023bc23dc5 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.