Triple

T32108862
Position Surface form Disambiguated ID Type / Status
Subject Dimasa Bodo E820060 entity
Predicate usesTitleForKing P78349 FINISHED
Object Raja 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: Raja | Statement: [Dimasa Bodo, usesTitleForKing, Raja]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTitleForKing
Context triple: [Dimasa Bodo, usesTitleForKing, Raja]
  • A. usesRoyalTitle chosen
    Indicates that one entity refers to another using a royal title or honorific (such as king, queen, prince, or similar).
  • B. traditionalTitleOfKing
    Indicates that the object is the customary or historically recognized royal title held by the king specified as the subject.
  • C. kingConsortOfTitle
    Indicates that a male monarch holds the position of king consort corresponding to a specific noble or royal title.
  • D. hasCurrentKingTitle
    Indicates that an entity currently holds the official title of king of a specified realm or domain.
  • E. usesTitleIn
    Indicates that an entity is referred to using a particular title within a specified context or medium.
  • 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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: May 1, 2026, 12:27 a.m.