Triple
T37826992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomon Ortiz |
E943087
|
entity |
| Predicate | localOfficeHeld |
P45587
|
FINISHED |
| Object | Sheriff of Nueces County, Texas |
—
|
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: Sheriff of Nueces County, Texas | Statement: [Solomon Ortiz, localOfficeHeld, Sheriff of Nueces County, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localOfficeHeld Context triple: [Solomon Ortiz, localOfficeHeld, Sheriff of Nueces County, Texas]
-
A.
aboutOfficeHeld
Indicates that one entity is related to, or provides information about, a specific office or position that is or was held by another entity.
-
B.
officeHeldOf
chosen
Indicates that a specific office or position is (or was) held by a particular person or entity.
-
C.
officeHeldIn
Indicates that a particular office or position is held within or associated with a specific geographic or administrative location.
-
D.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
-
E.
officeHeldDuring
Indicates that a person occupied a specific official position during a particular time period.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:19 p.m.