Triple

T25873374
Position Surface form Disambiguated ID Type / Status
Subject Robert the Bruce’s speech before the Battle of Bannockburn E651819 entity
Predicate invokesConcept P531 FINISHED
Object rightful kingship of Scotland 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: rightful kingship of Scotland | Statement: [Robert the Bruce’s speech before the Battle of Bannockburn, invokesConcept, rightful kingship of Scotland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: invokesConcept
Context triple: [Robert the Bruce’s speech before the Battle of Bannockburn, invokesConcept, rightful kingship of Scotland]
  • A. hasConcept chosen
    Indicates that an entity includes, embodies, or is associated with a particular concept.
  • B. usesConceptIdentifier
    Indicates that one entity refers to or operates with a specific concept by means of its unique identifier.
  • C. exportsConcept
    Indicates that one entity sends or supplies a concept, idea, or abstract knowledge resource from itself to another entity or context.
  • D. commonConcept
    Indicates that two or more entities share the same underlying idea, notion, or conceptual meaning.
  • E. conceptualFunction
    Indicates a relationship where one entity serves as an abstract or conceptual function that operates on, transforms, or maps another entity within a conceptual or theoretical framework.
  • 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_69e7ab3ad9d88190841ddcb93ab02e96 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f602dea1388190a5e8567388c2838a completed May 2, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69f4939148dc81908706cec7d85291bc completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 8:12 a.m.