Triple

T19409365
Position Surface form Disambiguated ID Type / Status
Subject Bukhari E485548 entity
Predicate primarySpeakersLocation P16679 FINISHED
Object Central Asian Jewish diaspora LITERAL 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: Central Asian Jewish diaspora | Statement: [Bukhari, primarySpeakersLocation, Central Asian Jewish diaspora]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySpeakersLocation
Context triple: [Bukhari, primarySpeakersLocation, Central Asian Jewish diaspora]
  • A. primarySpeakers
    Indicates the entities that are the main or most significant speakers associated with another entity (such as an event, recording, or language).
  • B. lastSpeakersLocatedIn
    Indicates that the most recent speakers in a given context are situated or based in a specified location.
  • C. locationOfAudience
    Indicates the place or setting where the audience is situated or gathered.
  • D. speakers
    Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
  • E. hasSpeakersIn chosen
    Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
  • F. None of above.

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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69e4fd68b1f881908d273de1fee81a75 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:37 p.m.