Triple
T5665092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leader of the Opposition (Spain) |
E124838
|
entity |
| Predicate | isRecognizedByPublicOpinion |
P39479
|
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), isRecognizedByPublicOpinion, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecognizedByPublicOpinion Context triple: [Leader of the Opposition (Spain), isRecognizedByPublicOpinion, yes]
-
A.
hasPublicPerception
chosen
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
-
B.
legitimacyPerception
Indicates how legitimate or appropriate an entity, action, or authority is perceived to be by relevant observers or stakeholders.
-
C.
popularVote
Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
-
D.
hasDifferentOpinionsOn
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
-
E.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
- 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.