Triple
T893723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butte County |
E19295
|
entity |
| Predicate | stateSubdivisionCode |
P20781
|
FINISHED |
| Object | US-CA |
—
|
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: US-CA | Statement: [Butte County, stateSubdivisionCode, US-CA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateSubdivisionCode Context triple: [Butte County, stateSubdivisionCode, US-CA]
-
A.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
B.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
-
C.
countrySubdivision
Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
-
D.
countrySubdivisionType
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
E.
stateElectoralRegion
Indicates the electoral district or region within a state that an entity is associated with for voting or representation purposes.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4a38ec8190915916d80299ab55 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.