Triple

T12178044
Position Surface form Disambiguated ID Type / Status
Subject Tuʻi Tonga E290139 entity
Predicate retainedSacredStatus P21134 FINISHED
Object true 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: true | Statement: [Tuʻi Tonga, retainedSacredStatus, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retainedSacredStatus
Context triple: [Tuʻi Tonga, retainedSacredStatus, true]
  • A. sacredStatus chosen
    Indicates that something holds a revered, holy, or religiously significant status within a particular belief system or tradition.
  • B. sacredLanguageStatus
    Indicates that a language holds a recognized sacred or liturgical status within a religious or spiritual tradition.
  • C. sacredTo
    Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
  • D. sacredElement
    Indicates that one entity is regarded as holy, revered, or spiritually significant within the religious or cultural context of the other entity.
  • E. hasSacredSymbol
    Indicates that one entity serves as a sacred or religiously significant symbol 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91621ca6c81908365732f361aef13 completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150e85348190b9b47cda4a17dcd0 completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.