Triple
T7490400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Board of Equalization |
E176990
|
entity |
| Predicate | electoralDistrictBasedMembership |
P43366
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [California Board of Equalization, electoralDistrictBasedMembership, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralDistrictBasedMembership Context triple: [California Board of Equalization, electoralDistrictBasedMembership, true]
-
A.
representedElectoralDistrict
Indicates that an elected official served as the representative for a specific electoral district or constituency.
-
B.
hasElectoralDistricts
chosen
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
C.
electoralAreaOf
Indicates that a given electoral area (such as a district or ward) is the designated electoral division associated with a particular jurisdiction or entity.
-
D.
electoralDistrictType
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
E.
servedDistrict
Indicates that an entity has provided official service or representation to a particular district.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.