Triple

T18241134
Position Surface form Disambiguated ID Type / Status
Subject Nihoa Island E436812 entity
Predicate hasHumanPopulationStatus P9067 FINISHED
Object uninhabited 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: uninhabited | Statement: [Nihoa Island, hasHumanPopulationStatus, uninhabited]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHumanPopulationStatus
Context triple: [Nihoa Island, hasHumanPopulationStatus, uninhabited]
  • A. hasPopulationStatus chosen
    Indicates the current demographic condition or classification of a population associated with an entity.
  • B. hasPopulationType
    Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
  • C. hasPermanentHumanPopulation
    Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
  • D. hasPopulationAsOf
    Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
  • E. hasResidentPopulation
    Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e287548190b666a990e5b168b0 completed April 19, 2026, 3:42 p.m.
PD Predicate disambiguation batch_69e4332336cc8190808b9c70c888ba65 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:33 a.m.