Triple

T1236988
Position Surface form Disambiguated ID Type / Status
Subject Lion of Judah E26570 entity
Predicate emphasizesAspectOf P17414 FINISHED
Object Jesus’ kingship 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: Jesus’ kingship | Statement: [Lion of Judah, emphasizesAspectOf, Jesus’ kingship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesAspectOf
Context triple: [Lion of Judah, emphasizesAspectOf, Jesus’ kingship]
  • A. aspect
    Indicates a specific temporal phase or manner in which an action, event, or state unfolds or is viewed (e.g., ongoing, completed, habitual).
  • B. hasEmphasis chosen
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • C. strategyEmphasis
    Indicates an entity’s primary focus or priority within a broader strategy or plan.
  • D. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • E. disputedAspect
    Indicates that a particular feature, detail, or component of something is subject to disagreement or contention between parties.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf3f07c08190a402e8341c1f38cc completed March 1, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69a4bb67d52c8190815d6356b79d6ed5 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.