Triple
T1856102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip V of Spain |
E41704
|
entity |
| Predicate | retainedTitleAfterTreaty |
P13879
|
FINISHED |
| Object | 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: King of Spain | Statement: [Philip V of Spain, retainedTitleAfterTreaty, King of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retainedTitleAfterTreaty Context triple: [Philip V of Spain, retainedTitleAfterTreaty, King of Spain]
-
A.
titleRetainedAfter
chosen
Indicates that an entity continues to hold or use the same title after a specified event or point in time.
-
B.
regainedTitleFrom
Indicates that an entity has recovered a previously held title or position from another entity who had taken or held it in the interim.
-
C.
titleAfterAbdication
Indicates the formal title or designation a person holds after they have abdicated a previous position of authority or rank.
-
D.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
E.
titleAfterAbdicationOfSpouse
Indicates that an entity holds a specific title that was acquired after their spouse abdicated a position or throne.
- 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_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. |
Created at: March 4, 2026, 7:33 p.m.