Triple

T13367810
Position Surface form Disambiguated ID Type / Status
Subject Aka-Bo language E318984 entity
Predicate hasSpeakerPopulationTrend P31774 FINISHED
Object declining throughout the 20th century 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: declining throughout the 20th century | Statement: [Aka-Bo language, hasSpeakerPopulationTrend, declining throughout the 20th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpeakerPopulationTrend
Context triple: [Aka-Bo language, hasSpeakerPopulationTrend, declining throughout the 20th century]
  • A. haveSpeakerPopulation
    Indicates that an entity has a specified number or population size of people who speak a particular language.
  • B. approximatePopulationTrend chosen
    Indicates an estimated or generalized pattern of how a population changes over time (e.g., increasing, decreasing, or stable) rather than an exact count.
  • C. hasPopulationScale
    Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
  • D. hasHighProportionOfSpeakersOf
    Indicates that a subject entity has a relatively large share of its population or members who speak a specified language.
  • E. hasPopulationStatus
    Indicates the current demographic condition or classification of a population associated with an entity.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:32 p.m.