Triple
T7490395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Board of Equalization |
E176990
|
entity |
| Predicate | statusAfter2017Reform |
P73816
|
FINISHED |
| Object | significantly reduced administrative role |
—
|
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: significantly reduced administrative role | Statement: [California Board of Equalization, statusAfter2017Reform, significantly reduced administrative role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter2017Reform Context triple: [California Board of Equalization, statusAfter2017Reform, significantly reduced administrative role]
-
A.
statusAfter2017
Indicates the status or condition an entity has specifically after the year 2017.
-
B.
legalStatusAfterReform
chosen
Indicates the legal status or condition an entity holds following the implementation of a specific reform or legal change.
-
C.
statusAfter2018
Indicates the condition or state of something specifically during the period after the year 2018.
-
D.
statusAfter1970
Indicates the status or condition of an entity as it exists after the year 1970.
-
E.
statusAfter2020
Indicates the condition or state of an entity as it exists after the year 2020.
- 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.