Triple

T2056030
Position Surface form Disambiguated ID Type / Status
Subject Prasun language E45675 entity
Predicate hasSpeakerPopulation P1247 FINISHED
Object small number of speakers 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: small number of speakers | Statement: [Prasun language, hasSpeakerPopulation, small number of speakers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpeakerPopulation
Context triple: [Prasun language, hasSpeakerPopulation, small number of speakers]
  • A. hasSpeakersIn
    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.
  • B. hasSpeakerType
    Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
  • C. hasApproximateTotalSpeakers chosen
    Indicates that an entity is associated with an estimated or roughly calculated number of total speakers, rather than an exact count.
  • D. hasAudienceSize
    Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
  • E. hasMainSpeaker
    Indicates that one entity serves as the primary or principal speaker associated with another entity, such as an event, recording, or presentation.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a9ce548190a5a3488fafb2e79e completed March 7, 2026, 5:37 a.m.
PD Predicate disambiguation batch_69abb7ad5a7c8190b92575d6053b3fb7 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.