Triple
T36983161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Senate district (Los Angeles County-based) |
E914887
|
entity |
| Predicate | countyComponent |
P201781
|
FINISHED |
| Object | Los Angeles County |
E23731
|
NE 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: Los Angeles County | Statement: [California State Senate district (Los Angeles County-based), countyComponent, Los Angeles County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countyComponent Context triple: [California State Senate district (Los Angeles County-based), countyComponent, Los Angeles County]
-
A.
countyFunction
Indicates that a county serves a particular administrative or governmental role or performs a specified function.
-
B.
countyGovernment
Indicates that a county-level governmental authority has jurisdiction over, administers, or is responsible for the referenced entity.
-
C.
cityCounty
Indicates that a city is located within, and administratively belongs to, a specific county.
-
D.
countyContext
chosen
Indicates that something is situated within, associated with, or interpreted in the context of a specific county.
-
E.
countyInvolved
Indicates that a county participates in, is affected by, or has a role within a specified event, process, or relationship.
- F. None of above.
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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a03433dd64c8190ab620709153b6278 |
completed | May 12, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c2b3eb88190bebd24e33cc7a172 |
completed | June 26, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_6a034107e53881909127bac98cac3429 |
completed | May 12, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:14 p.m.