Triple
T11714260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1860 United States presidential election |
E278450
|
entity |
| Predicate | JohnCBreckinridgeElectoralVotes |
P100930
|
FINISHED |
| Object | 72 |
—
|
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: 72 | Statement: [1860 United States presidential election, JohnCBreckinridgeElectoralVotes, 72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JohnCBreckinridgeElectoralVotes Context triple: [1860 United States presidential election, JohnCBreckinridgeElectoralVotes, 72]
-
A.
runningMateOfJebBush
Indicates that the subject was the vice-presidential running mate of Jeb Bush in an election.
-
B.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
C.
dixiecratNominee
Indicates that the subject was the official candidate or nominee of the Dixiecrat (States' Rights Democratic) political party for a particular office or election.
-
D.
republicanNominee
Indicates that the subject is the officially selected Republican Party candidate for the specified office or election.
-
E.
electoralVoteRunnerUp
Indicates that the subject is the candidate who received the second-highest number of electoral votes in a given election.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.