Triple

T5665091
Position Surface form Disambiguated ID Type / Status
Subject Leader of the Opposition (Spain) E124838 entity
Predicate isRecognizedByMedia P37237 FINISHED
Object yes 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: yes | Statement: [Leader of the Opposition (Spain), isRecognizedByMedia, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isRecognizedByMedia
Context triple: [Leader of the Opposition (Spain), isRecognizedByMedia, yes]
  • A. areRecognizedBy chosen
    Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
  • B. canRecognize
    Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
  • C. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • D. recognizedIn
    Indicates that an entity is formally acknowledged, honored, or given recognition within a particular context, setting, or domain.
  • E. recognizedAs
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0236d3f94819095111c41a323612d completed March 22, 2026, 5:14 p.m.
PD Predicate disambiguation batch_69c021ba4ec481909db8cdbf0e907dd6 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:43 p.m.