Triple

T19683540
Position Surface form Disambiguated ID Type / Status
Subject Te Ākitai Waiohua E472653 entity
Predicate hasTraditionalInterestsIn P44442 FINISHED
Object land around Manukau Harbour 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: land around Manukau Harbour | Statement: [Te Ākitai Waiohua, hasTraditionalInterestsIn, land around Manukau Harbour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalInterestsIn
Context triple: [Te Ākitai Waiohua, hasTraditionalInterestsIn, land around Manukau Harbour]
  • A. hasHeritageInterest
    Indicates that something is recognized as having cultural, historical, or heritage-related significance or value.
  • B. subjectInterest
    Indicates that the subject has an interest in, or is concerned with, the object.
  • C. hasTraditionIn
    Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
  • D. traditionallyInvolvedIn
    Indicates that an entity has historically or customarily participated in, practiced, or been associated with a particular activity, role, or domain.
  • E. hasTraditionalAssociation chosen
    Indicates that one entity is customarily or historically linked with another according to tradition or long-established practice.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641c126b88190820281058a1e7793 completed April 20, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69e53039ea808190a9106a53f564ab92 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:45 p.m.