Triple

T17137852
Position Surface form Disambiguated ID Type / Status
Subject Nisga’a language E415885 entity
Predicate hasNumberOfSpeakersCategory P126249 FINISHED
Object few hundred speakers (21st century, approximate) 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: few hundred speakers (21st century, approximate) | Statement: [Nisga’a language, hasNumberOfSpeakersCategory, few hundred speakers (21st century, approximate)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSpeakersCategory
Context triple: [Nisga’a language, hasNumberOfSpeakersCategory, few hundred speakers (21st century, approximate)]
  • A. numberOfSpeakersStatus
    Indicates the status or condition of information about how many speakers are involved (e.g., whether the number of speakers is known, estimated, missing, or otherwise qualified).
  • 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. hasSpeakersType
    Indicates that an entity has speakers of a specified type or category.
  • D. hasSpeakersAmong
    Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
  • E. haveSpeakerPopulation
    Indicates that an entity has a specified number or population size of people who speak a particular language.
  • F. None of above. chosen

Provenance (4 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d0628081908e0160290041fe89 completed April 18, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69e3830192ac819091344a9e5a36c8c9 completed April 18, 2026, 1:11 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:36 a.m.