Triple
T3933303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio José Amar y Borbón |
E90846
|
entity |
| Predicate | endOfTermCause |
P6707
|
FINISHED |
| Object | deposition by local independence leaders |
—
|
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: deposition by local independence leaders | Statement: [Antonio José Amar y Borbón, endOfTermCause, deposition by local independence leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfTermCause Context triple: [Antonio José Amar y Borbón, endOfTermCause, deposition by local independence leaders]
-
A.
reasonForEndOfTerm
chosen
Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
-
B.
endOf
Indicates that one entity marks the terminating point or final boundary of another entity, event, or interval.
-
C.
endedDueTo
Indicates that an event, process, or state came to a conclusion specifically because of a particular cause or condition.
-
D.
secondTermEnd
Indicates that the referenced time or event marks the conclusion of the second term in a sequence of terms.
-
E.
reasonForDiscontinuation
Indicates that one entity specifies the cause or justification for stopping, ending, or withdrawing another entity, process, or activity.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcab1808190bf653f29062cdddb |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.