Triple
T7144257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felipe González government |
E166522
|
entity |
| Predicate | electoralSupportDecline |
P66808
|
FINISHED |
| Object | 1993 Spanish general election |
—
|
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: 1993 Spanish general election | Statement: [Felipe González government, electoralSupportDecline, 1993 Spanish general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralSupportDecline Context triple: [Felipe González government, electoralSupportDecline, 1993 Spanish general election]
-
A.
powerDecline
Indicates a decrease or weakening in the level, intensity, or effectiveness of power exerted or possessed in a given context.
-
B.
declineIn
chosen
Indicates a relationship where one entity experiences a decrease or reduction in the level, amount, or intensity of another entity over time.
-
C.
electoralSuccess
Indicates that an entity has achieved a favorable or winning outcome in an election or electoral process.
-
D.
decline
Indicates a decrease or reduction in the level, amount, quality, or intensity of something over time.
-
E.
declineAfter
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d027d0819088598b2a9f71b1b7 |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.