Triple
T198560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidel Castro |
E4050
|
entity |
| Predicate | officeStartForPresident |
P8144
|
FINISHED |
| Object | 1976-12-02 |
—
|
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: 1976-12-02 | Statement: [Fidel Castro, officeStartForPresident, 1976-12-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForPresident Context triple: [Fidel Castro, officeStartForPresident, 1976-12-02]
-
A.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
B.
presidentialAdministration
Indicates that one entity serves as the presidential administration (the governing executive leadership and its term) associated with another entity, such as a country or government.
-
C.
oneOfTheGreatOfficesOfState
Indicates that the entity holds or pertains to one of the highest-ranking senior government positions traditionally recognized as the Great Offices of State.
-
D.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
E.
presidentInaugurated
Indicates that an individual formally assumes the office of president through an official inauguration event at a specific time and place.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.