Triple

T21573610
Position Surface form Disambiguated ID Type / Status
Subject Dushara E532341 entity
Predicate hasConsort P1136 FINISHED
Object Manāt 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: Manāt | Statement: [Dushara, hasConsort, Manāt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manāt
Context triple: [Dushara, hasConsort, Manāt]
  • A. Manāt chosen
    Manāt is an ancient Arabian goddess associated with fate, time, and death, venerated as one of the principal deities in pre-Islamic North Arabian and Nabataean religion.
  • B. Manan
    Manan was the principal city that served as the political and administrative center of the medieval Kanem Empire in Central Africa.
  • C. Manan
    Manan is a minor but memorable character in Ursula K. Le Guin’s Earthsea novel "The Tombs of Atuan," known for his simple-minded loyalty and kindness toward the priestess Tenar.
  • D. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • E. Manakau
    Manakau is a small rural settlement in New Zealand’s Horowhenua District, known for its farming community and location near the Kapiti Coast.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cef2748190990a81967d49b706 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.