Triple
T31784983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate elections |
E811303
|
entity |
| Predicate | stateWithSpecialElection |
P194261
|
FINISHED |
| Object | Delaware |
—
|
NE NERFINISHED |
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: Delaware | Statement: [2010 United States Senate elections, stateWithSpecialElection, Delaware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateWithSpecialElection Context triple: [2010 United States Senate elections, stateWithSpecialElection, Delaware]
-
A.
hasSpecialElectionIn
chosen
Indicates that a special election is held within a specified political or geographic jurisdiction.
-
B.
stateOfElection
Indicates the current status or phase of an election process (e.g., planned, ongoing, completed, or canceled).
-
C.
stateLevelElections
Indicates that elections are being held or occur at the state (sub-national) level within a political system.
-
D.
canHoldSpecialElections
Indicates that an entity has the authority or ability to conduct special elections outside the regular election schedule.
-
E.
canBeFilledBySpecialElection
Indicates that a vacant position or office is eligible to be filled through a special election process rather than a regular or scheduled election.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 30, 2026, 11:37 p.m.