Triple

T10835704
Position Surface form Disambiguated ID Type / Status
Subject Baka E255749 entity
Predicate possibleIdentity P13264 FINISHED
Object Bikheris E889215 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: Bikheris | Statement: [Baka, possibleIdentity, Bikheris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bikheris
Context triple: [Baka, possibleIdentity, Bikheris]
  • A. Bikheris chosen
    Bikheris is a shadowy and little-known ancient Egyptian pharaoh, possibly a short-reigning ruler of the 4th Dynasty whose identity and name reading remain debated among Egyptologists.
  • B. Kiksht
    Kiksht is the traditional Chinookan language historically spoken by the Wasco and related Indigenous peoples of the Columbia River region in the Pacific Northwest.
  • C. Chakia
    Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
  • D. Bikhauti
    Bikhauti is a traditional regional festival celebrated in the Garhwal area of Uttarakhand, India, marked by local religious rituals and community gatherings.
  • E. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c739708190b0d58fc2d6392c6c completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.