Triple
T21321509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín de Ursúa y Arizmendi |
E525628
|
entity |
| Predicate | startTimeOfPositionHeld_GovernorOfThePhilippines |
P25420
|
FINISHED |
| Object | 1709 |
—
|
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: 1709 | Statement: [Martín de Ursúa y Arizmendi, startTimeOfPositionHeld_GovernorOfThePhilippines, 1709]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPositionHeld_GovernorOfThePhilippines Context triple: [Martín de Ursúa y Arizmendi, startTimeOfPositionHeld_GovernorOfThePhilippines, 1709]
-
A.
termStartAsGovernor
chosen
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
B.
startTimeAsLieutenantGovernor
Indicates the date and time at which an individual began serving in the role of lieutenant governor.
-
C.
startTime_positionHeld_Governor of Pennsylvania
Indicates the date and time at which an individual began serving in the position of Governor of Pennsylvania.
-
D.
PhilippinesPresidentAtTime
Indicates that a given person holds the office of President of the Philippines at a specified point in time.
-
E.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
- 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.