Triple

T36818260
Position Surface form Disambiguated ID Type / Status
Subject Ngāti Porou E909805 entity
Predicate hasEconomicInterests P72007 FINISHED
Object forestry 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: forestry | Statement: [Ngāti Porou, hasEconomicInterests, forestry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicInterests
Context triple: [Ngāti Porou, hasEconomicInterests, forestry]
  • A. hasEconomicInterest chosen
    Indicates that one entity stands to gain or lose financially or materially from the performance, decisions, or outcomes associated with another entity.
  • B. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • C. hasEconomicActor
    Indicates that an entity participates in or influences an economic activity, process, or system in the role of an economic actor.
  • D. hasEconomicIdentity
    Indicates that an entity possesses a distinct economic role, profile, or characterization within an economic system or context.
  • E. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • 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_69f76e7dd13c81908c60b05adb49eeb5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7ca9591e48190a5a5bdb5d72ae4b3 completed May 3, 2026, 10:22 p.m.
PD Predicate disambiguation batch_69f7c89b528c8190bf80b230fc7c7108 completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:13 p.m.