Triple
T10292446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11th United States presidential election |
E241394
|
entity |
| Predicate | numberOfElectorsChosen |
P16492
|
FINISHED |
| Object | 261 |
—
|
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: 261 | Statement: [11th United States presidential election, numberOfElectorsChosen, 261]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfElectorsChosen Context triple: [11th United States presidential election, numberOfElectorsChosen, 261]
-
A.
numberOfElectors
chosen
Indicates the total count of electors associated with a given entity or context.
-
B.
electoralVoteFor
Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
-
C.
increasedNumberOfElectors
Indicates that the number of electors associated with an entity has grown compared to a previous state or reference point.
-
D.
electoralVotesReceived
Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
-
E.
presidentialElectorAllocation
Indicates how presidential electors are distributed or assigned among different jurisdictions or candidates in an 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d35f048190a215493acdf1f718 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.