Triple
T5665094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leader of the Opposition (Spain) |
E124838
|
entity |
| Predicate | hasNoFormalAppointmentDecree |
P4154
|
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), hasNoFormalAppointmentDecree, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoFormalAppointmentDecree Context triple: [Leader of the Opposition (Spain), hasNoFormalAppointmentDecree, yes]
-
A.
hasDecisionForm
Indicates that an entity is associated with, or represented by, a particular decision document or formal decision record.
-
B.
hasNoLegalAuthority
Indicates that an entity lacks the official power, right, or authorization to perform a specified action or make binding decisions in a given context.
-
C.
hasInformalStatus
chosen
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to another entity.
-
D.
hasNotableDecision
Indicates that an entity is associated with a specific decision that is considered significant or noteworthy in some context.
-
E.
hasFormalStatus
Indicates that an entity possesses an officially recognized or legally defined status within a formal system or context.
- 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.