Triple
T19440607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | unincorporated Eden Area of Alameda County |
E486339
|
entity |
| Predicate | hasSharedServices |
P135898
|
FINISHED |
| Object | law enforcement |
—
|
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: law enforcement | Statement: [unincorporated Eden Area of Alameda County, hasSharedServices, law enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSharedServices Context triple: [unincorporated Eden Area of Alameda County, hasSharedServices, law enforcement]
-
A.
hasConstituentServicesIn
Indicates that an entity provides constituent services within a specified geographic or jurisdictional area.
-
B.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
C.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
D.
hasDirectServices
Indicates that one entity provides services directly to another entity without intermediaries.
-
E.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63364371081908e899c2a47af4e5d |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.