Triple

T313575
Position Surface form Disambiguated ID Type / Status
Subject KB E7657 entity
Predicate hasRepresentation P103 FINISHED
Object SymbolicIdentifier 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: SymbolicIdentifier | Statement: [KB, hasRepresentation, SymbolicIdentifier]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRepresentation
Context triple: [KB, hasRepresentation, SymbolicIdentifier]
  • A. hasRepresentationIn chosen
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • B. canRepresent
    Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
  • C. hasElectoralRepresentation
    Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
  • D. hasRepresentativeBody
    Indicates that an entity is associated with or governed by a specific representative body that acts or decides on its behalf.
  • E. hasRepresentativeTitle
    Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea4bd6a081909bdb57602c7093b4 completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e9428098819089d5950cd2c96dc4 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:07 p.m.