Triple
T7490394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Board of Equalization |
E176990
|
entity |
| Predicate | historicalFunctionTransferredInYear |
P77829
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [California Board of Equalization, historicalFunctionTransferredInYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFunctionTransferredInYear Context triple: [California Board of Equalization, historicalFunctionTransferredInYear, 2017]
-
A.
hasHistoricalOriginInYear
Indicates that something first originated, began, or came into existence in a specified calendar year.
-
B.
historicalFunction
Indicates the role, purpose, or activity an entity had during a past period or in a historical context.
-
C.
revenueRightsTransferYear
Indicates the year in which the rights to receive revenue are transferred from one party to another.
-
D.
historicalStatusOf
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
E.
historicalVolume
Indicates a relationship where a volume (such as a book, record, or dataset) pertains to or documents historical information or events.
- 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_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. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:43 p.m.