Triple
T26962357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph DLG Torres |
E679079
|
entity |
| Predicate | tookOfficeAsGovernorDueTo |
P161381
|
FINISHED |
| Object | death of Governor Eloy Inos |
—
|
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: death of Governor Eloy Inos | Statement: [Ralph DLG Torres, tookOfficeAsGovernorDueTo, death of Governor Eloy Inos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOfficeAsGovernorDueTo Context triple: [Ralph DLG Torres, tookOfficeAsGovernorDueTo, death of Governor Eloy Inos]
-
A.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
B.
officeHeldAsGovernor
Indicates that an entity holds or has held the official position of governor of a political or administrative region.
-
C.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
E.
laterGovernor
Indicates that one entity subsequently became the governor of a place or jurisdiction associated with another entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620ec8e108190966b7b8142a3e28d |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:32 a.m.