Triple
T4872798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Socialist Workers Party |
E109124
|
entity |
| Predicate | timeInNationalGovernment |
P60378
|
FINISHED |
| Object | 1982–1996 |
—
|
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: 1982–1996 | Statement: [Spanish Socialist Workers Party, timeInNationalGovernment, 1982–1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInNationalGovernment Context triple: [Spanish Socialist Workers Party, timeInNationalGovernment, 1982–1996]
-
A.
positionHeldInLegislature
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
-
B.
servedInParliamentFor
Indicates that a person held a parliamentary seat as a representative of a specified constituency, region, or jurisdiction.
-
C.
yearsActiveInPolitics
Indicates the span of time during which an entity has been actively involved in political roles, activities, or office.
-
D.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
E.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:27 p.m.