Triple

T34531073
Position Surface form Disambiguated ID Type / Status
Subject Pacific/Norfolk E886536 entity
Predicate mapsToCountry P134363 FINISHED
Object Australia (Norfolk Island) NE NERFINISHED

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: Australia (Norfolk Island) | Statement: [Pacific/Norfolk, mapsToCountry, Australia (Norfolk Island)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mapsToCountry
Context triple: [Pacific/Norfolk, mapsToCountry, Australia (Norfolk Island)]
  • A. mapCountry chosen
    Indicates a relationship where a map is associated with or represents a specific country.
  • B. mapsTo
    Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
  • C. mapsToAdministrativeAreas
    Indicates that something is associated with, assigned to, or corresponds to one or more defined administrative areas or regions.
  • D. mapsFrom
    Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
  • E. mapsAs
    Indicates that one entity serves as a mapping or correspondence to another, typically translating or associating elements from one domain or representation to another.
  • 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_69f349cd7c148190aa99192b126d1527 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71fbfe61c81909bcfd3ba504769e7 completed May 3, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f71cc8074c81909ae09bea2acf1a09 completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 2:02 a.m.