Triple

T12348845
Position Surface form Disambiguated ID Type / Status
Subject Ka Makana Aliʻi E294429 entity
Predicate hasEventProgramming P15106 FINISHED
Object yes 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: yes | Statement: [Ka Makana Aliʻi, hasEventProgramming, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEventProgramming
Context triple: [Ka Makana Aliʻi, hasEventProgramming, yes]
  • A. hasCulturalProgram
    Indicates that an entity offers or participates in an organized set of cultural activities, events, or initiatives.
  • B. hasCulturalEvent
    Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
  • C. hasPublicEventsIn
    Indicates that an entity organizes or holds public events within a specified location or context.
  • D. hasPublicProgram chosen
    Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
  • E. hasOfficialEvents
    Indicates that an entity organizes, hosts, or is associated with formally recognized or sanctioned events.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.