Triple
T31122819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of Cádiz (1823) |
E793267
|
entity |
| Predicate | monarchRestored |
P57955
|
FINISHED |
| Object | Ferdinand VII of Spain |
—
|
NE NERFINISHED |
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: Ferdinand VII of Spain | Statement: [siege of Cádiz (1823), monarchRestored, Ferdinand VII of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchRestored Context triple: [siege of Cádiz (1823), monarchRestored, Ferdinand VII of Spain]
-
A.
restoredToThrone
Indicates that an entity regains a previously held throne or royal position after having lost or been removed from it.
-
B.
monarchDeposed
Indicates that a monarch has been removed from power, typically against their will, by force, coercion, or formal deposition.
-
C.
restoredToThroneBy
chosen
Indicates that an entity was returned to a position of rulership or kingship through the actions or intervention of another entity.
-
D.
firstMonarchAfterRestoration
Indicates the monarch who was the first to assume the throne following a period of restoration of the monarchy or regime.
-
E.
monarchOnEstablishment
Indicates that a particular monarch holds or held the position of head of state for a given establishment (such as a country, state, or institution).
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 9:05 p.m.