Triple

T2264395
Position Surface form Disambiguated ID Type / Status
Subject Osage Nation E50110 entity
Predicate currentPopulationEstimate P3412 FINISHED
Object several thousand enrolled members 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: several thousand enrolled members | Statement: [Osage Nation, currentPopulationEstimate, several thousand enrolled members]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currentPopulationEstimate
Context triple: [Osage Nation, currentPopulationEstimate, several thousand enrolled members]
  • A. currentPopulation
    Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
  • B. hasPopulationAsOf
    Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
  • C. hasPopulationApproximate chosen
    Indicates that an entity has an estimated or approximate population size, rather than an exact count.
  • D. permanentPopulation
    Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
  • E. approximatePopulationTrend
    Indicates an estimated or generalized pattern of how a population changes over time (e.g., increasing, decreasing, or stable) rather than an exact count.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc2ea65288190bc8644a07a11dfa9 completed March 7, 2026, 6:17 a.m.
PD Predicate disambiguation batch_69abbdb592588190ac1ef5e8c54575b1 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.