Triple

T2356681
Position Surface form Disambiguated ID Type / Status
Subject Tongva people E47571 entity
Predicate populationDeclineCause P21041 FINISHED
Object introduced diseases 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: introduced diseases | Statement: [Tongva people, populationDeclineCause, introduced diseases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationDeclineCause
Context triple: [Tongva people, populationDeclineCause, introduced diseases]
  • A. extinctionReason
    Indicates the cause or factor responsible for an entity’s extinction.
  • B. reducedPopulationOf chosen
    Indicates a relationship where one entity has caused a decrease in the size or number of individuals in a population of another entity.
  • C. causeOfDownfall
    Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
  • D. creationCanBecomeExtinct
    Indicates that something which has been created is capable of ceasing to exist or becoming extinct.
  • E. demographicChallenge
    Indicates a situation where population trends (such as aging, low birth rates, or migration patterns) create significant social, economic, or policy pressures that must be addressed.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.