Triple

T16131301
Position Surface form Disambiguated ID Type / Status
Subject Whanganui iwi E391402 entity
Predicate hasLegalInterestIn P21381 FINISHED
Object Te Awa Tupua legal entity 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: Te Awa Tupua legal entity | Statement: [Whanganui iwi, hasLegalInterestIn, Te Awa Tupua legal entity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalInterestIn
Context triple: [Whanganui iwi, hasLegalInterestIn, Te Awa Tupua legal entity]
  • A. hasLegalSubject
    Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
  • B. hasLegalRight chosen
    Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
  • C. hasLegalRelevanceIn
    Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
  • D. hasLegalCapacity
    Indicates that an entity possesses the legal authority and competence to perform actions or enter into obligations that are recognized and enforceable under the law.
  • E. hasEconomicInterest
    Indicates that one entity stands to gain or lose financially or materially from the performance, decisions, or outcomes associated with another entity.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020829e88190b51ab32d22cf0259 completed April 17, 2026, 9:48 a.m.
PD Predicate disambiguation batch_69e1828518c48190a8ef3aaa46a1f639 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.