Triple
T20920838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrazas |
E515201
|
entity |
| Predicate | hasGovernmentTypeOfMunicipality |
P73614
|
FINISHED |
| Object | mayor–council government (Carolina) |
—
|
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: mayor–council government (Carolina) | Statement: [Barrazas, hasGovernmentTypeOfMunicipality, mayor–council government (Carolina)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentTypeOfMunicipality Context triple: [Barrazas, hasGovernmentTypeOfMunicipality, mayor–council government (Carolina)]
-
A.
hasCityGovernmentType
chosen
Indicates the specific form or structure of municipal governance that administers a city.
-
B.
hasGovernmentalBodyType
Indicates the specific kind or classification of governmental body that an entity possesses or is associated with.
-
C.
hasGovernmentTypeCountry
Indicates that a country possesses or is characterized by a particular form or type of government.
-
D.
targetGovernmentType
Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
-
E.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.