Triple
T13115038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1844 United States presidential election |
E311070
|
entity |
| Predicate | popularVotesForJamesGBirney |
P108123
|
FINISHED |
| Object | 62237 |
—
|
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: 62237 | Statement: [1844 United States presidential election, popularVotesForJamesGBirney, 62237]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVotesForJamesGBirney Context triple: [1844 United States presidential election, popularVotesForJamesGBirney, 62237]
-
A.
popularVotesReceivedByJamesBWeaver
Indicates the number of popular votes that were cast for James B. Weaver in an election.
-
B.
JohnCBreckinridgePopularVotes
Indicates the number of popular votes received by John C. Breckinridge in an election.
-
C.
popularVotesReceivedByBenjaminHarrison
Indicates the number of popular votes that were cast for Benjamin Harrison in an election.
-
D.
popularVotesForWilliamMcKinley
Indicates the number of popular votes that were cast in favor of William McKinley in an election.
-
E.
popularVotesForHoratio Seymour
Indicates the number of popular votes that were cast in favor of Horatio Seymour in an 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:06 p.m.