Triple
T3022519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 California gubernatorial election |
E82494
|
entity |
| Predicate | featuredIncumbentGovernorRunning |
P44681
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [1998 California gubernatorial election, featuredIncumbentGovernorRunning, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredIncumbentGovernorRunning Context triple: [1998 California gubernatorial election, featuredIncumbentGovernorRunning, no]
-
A.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
B.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
C.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
-
D.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
E.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a963034819093d96566e9b0cea9 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.