Triple

T19071957
Position Surface form Disambiguated ID Type / Status
Subject Talpiot E466813 entity
Predicate adjacentTo P224 FINISHED
Object Baka 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: Baka | Statement: [Talpiot, adjacentTo, Baka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baka
Context triple: [Talpiot, adjacentTo, Baka]
  • A. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • B. Baka chosen
    Baka is a residential neighborhood in southern Jerusalem known for its mix of historic stone houses, tree-lined streets, and a diverse population of religious and secular residents.
  • C. Baaka
    Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
  • D. Bakana
    Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
  • E. Ba'ku
    The Ba'ku are a peaceful, long-lived humanoid species in the Star Trek universe who inhabit a secluded planet with regenerative properties and reject advanced technology in favor of a simple, agrarian lifestyle.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19fa6948190bdf8e8ec022e12f2 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:04 p.m.