Triple
T244785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of California |
E5012
|
entity |
| Predicate | hasElectedOffice |
P1239
|
FINISHED |
| Object | Governor of California |
—
|
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: Governor of California | Statement: [Government of California, hasElectedOffice, Governor of California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectedOffice Context triple: [Government of California, hasElectedOffice, Governor of California]
-
A.
nominatedForOffice
Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
-
B.
electedOffice
chosen
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
C.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
D.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
E.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.