Triple
T24529529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern County unincorporated area |
E606762
|
entity |
| Predicate | serviceProvisionModel |
P152613
|
FINISHED |
| Object | county‑provided services |
—
|
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‑provided services | Statement: [Kern County unincorporated area, serviceProvisionModel, county‑provided services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceProvisionModel Context triple: [Kern County unincorporated area, serviceProvisionModel, county‑provided services]
-
A.
providesServiceModel
chosen
Indicates that one entity supplies or makes available a particular service model for use by another entity.
-
B.
serviceIs
Indicates that one entity functions as a service of a specified type or category in relation to another entity.
-
C.
serviceModuleType
Indicates the type or category of a service module associated with an entity or system.
-
D.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
E.
serviceVariantOf
Indicates that one service is a variant or alternative version of another, typically differing in configuration, features, or options while serving a similar core function.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.