Triple
T21321510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín de Ursúa y Arizmendi |
E525628
|
entity |
| Predicate | endTimeOfPositionHeld_GovernorOfThePhilippines |
P24865
|
FINISHED |
| Object | 1715 |
—
|
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: 1715 | Statement: [Martín de Ursúa y Arizmendi, endTimeOfPositionHeld_GovernorOfThePhilippines, 1715]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfPositionHeld_GovernorOfThePhilippines Context triple: [Martín de Ursúa y Arizmendi, endTimeOfPositionHeld_GovernorOfThePhilippines, 1715]
-
A.
endTimeAsLieutenantGovernor
Indicates the date and time at which an individual’s service in the role of lieutenant governor comes to an end.
-
B.
endTimeAsGovernorGeneral
Indicates the point in time at which an individual’s term or service as Governor General comes to an end.
-
C.
servedAsGovernorUntil
chosen
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
governorResidenceUntil
Indicates that a specified location served as the official residence of a governor up to a particular time or date.
-
E.
PhilippinesPresidentAtTime
Indicates that a given person holds the office of President of the Philippines at a specified point in time.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed1538c8190954da114e49dfa36 |
completed | April 21, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:39 p.m.