Triple
T8232267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitutional Court of Spain |
E192320
|
entity |
| Predicate | numberAppointedBySenate |
P80987
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Constitutional Court of Spain, numberAppointedBySenate, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberAppointedBySenate Context triple: [Constitutional Court of Spain, numberAppointedBySenate, 4]
-
A.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
-
B.
sponsoredInSenateBy
Indicates that a legislative measure or proposal was formally introduced or championed in the Senate by a specific senator.
-
C.
adviceAndConsentFor
Indicates that one party formally reviews, approves, or rejects a proposed action or decision initiated by another party, typically as a required check before it can take effect.
-
D.
numberOfSenators
Indicates the total count of senators associated with a given political body, region, or entity.
-
E.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
- F. None of above. chosen
Provenance (4 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7824a6c48190a3abb76c4c3dcc71 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:46 p.m.