Triple

T23459527
Position Surface form Disambiguated ID Type / Status
Subject Seal of the Vice President of Indonesia E568928 entity
Predicate hasMottoScript P152359 FINISHED
Object Latin script 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: Latin script | Statement: [Seal of the Vice President of Indonesia, hasMottoScript, Latin script]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMottoScript
Context triple: [Seal of the Vice President of Indonesia, hasMottoScript, Latin script]
  • A. hasMottoLikeFunction
    Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
  • B. hasMottoSymbol
    Indicates that an entity’s motto is represented or accompanied by a particular symbol.
  • C. hasMottoInText
    Indicates that an entity has a motto expressed in a specific textual form or wording.
  • D. hasMottoDepiction
    Indicates that something visually represents or depicts the motto associated with an entity.
  • E. hasMottoContext
    Indicates that an entity’s motto is associated with or applies within a specific contextual setting or scope.
  • F. None of above. chosen

Provenance (4 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a699c0088190a84d7a495a3e3d61 completed April 29, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69f06201d33481909b5fd7b92d03e658 completed April 28, 2026, 7:30 a.m.
PDg Predicate description generation batch_69f07cbbd7488190ab3c8ae7d0fb68bf completed April 28, 2026, 9:24 a.m.
Created at: April 17, 2026, 5:53 p.m.