Triple
T26962297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eloy S. Inos |
E679078
|
entity |
| Predicate | successorAsLieutenantGovernor |
P33240
|
FINISHED |
| Object | Ralph Torres |
—
|
NE NERFINISHED |
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: Ralph Torres | Statement: [Eloy S. Inos, successorAsLieutenantGovernor, Ralph Torres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsLieutenantGovernor Context triple: [Eloy S. Inos, successorAsLieutenantGovernor, Ralph Torres]
-
A.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
successorAsChief
Indicates that one entity becomes the next chief, taking over the leadership role from another entity.
-
C.
laterGovernor
Indicates that one entity subsequently became the governor of a place or jurisdiction associated with another entity.
-
D.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
E.
precededInOfficeAsGovernorBy
Indicates that one individual assumed the role of governor after another specific individual, who held the office immediately before them.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 6:32 a.m.