Triple

T13293926
Position Surface form Disambiguated ID Type / Status
Subject Otorohanga E316628 entity
Predicate hasCivicFeature P182 FINISHED
Object Māori-themed town decorations 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: Māori-themed town decorations | Statement: [Otorohanga, hasCivicFeature, Māori-themed town decorations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCivicFeature
Context triple: [Otorohanga, hasCivicFeature, Māori-themed town decorations]
  • A. hasCivicIdentity
    Indicates that an entity possesses a recognized status, role, or affiliation within a civic, social, or political community.
  • B. hasCivicFunction
    Indicates that an entity performs, is responsible for, or is associated with an official public or civic role, duty, or service.
  • C. hasFeatureCode
    Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
  • D. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • E. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6893708190aeebf4c47386cff7 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:28 p.m.