Triple
T1856111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip V of Spain |
E41704
|
entity |
| Predicate | succeededToThroneAs |
P33622
|
FINISHED |
| Object | first Bourbon king of Spain |
—
|
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: first Bourbon king of Spain | Statement: [Philip V of Spain, succeededToThroneAs, first Bourbon king of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededToThroneAs Context triple: [Philip V of Spain, succeededToThroneAs, first Bourbon king of Spain]
-
A.
wasCrowned
Indicates that an entity formally received a crown or royal title in a ceremonial act of investiture.
-
B.
monarchSuccessor
Indicates that one monarch directly follows another in a royal line of succession.
-
C.
reignAs
Indicates that an entity holds and exercises ruling authority or sovereignty over a domain or people for a period of time.
-
D.
successorAsKingOfScotland
Indicates that one person becomes the next king of Scotland following another person's reign.
-
E.
succeededByAsKingOfHanover
Indicates that one individual was directly followed by another as the reigning king of Hanover.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb22f36f08190abf5e295ddf310d7 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:33 p.m.