Triple
T4048281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernalillo County |
E84120
|
entity |
| Predicate | hasCountyCommissionForm |
P53805
|
FINISHED |
| Object | county commission |
—
|
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: county commission | Statement: [Bernalillo County, hasCountyCommissionForm, county commission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountyCommissionForm Context triple: [Bernalillo County, hasCountyCommissionForm, county commission]
-
A.
hasCountyCommissioners
Indicates that an entity is governed or overseen by one or more county commissioners.
-
B.
hasCountyCouncil
Indicates that an entity is administratively governed or overseen by a specific county council.
-
C.
hasCountyAdministrativeBoard
Indicates that an entity is under the jurisdiction or responsibility of a specific county administrative board.
-
D.
hasMunicipalFormation
Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
-
E.
hasCountyAdministrator
Indicates that an entity is administered or overseen by a specific county administrator.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef98ed84c81909dc86097df4afd4f |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:37 p.m.