Triple
T10401957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election of 1824 |
E245169
|
entity |
| Predicate | numberOfMajorCandidates |
P93716
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [United States presidential election of 1824, numberOfMajorCandidates, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorCandidates Context triple: [United States presidential election of 1824, numberOfMajorCandidates, 4]
-
A.
numberOfCandidates
Indicates the total count of candidates associated with a given entity or context.
-
B.
hasMajorPartyCandidate
Indicates that an election, race, or contest includes at least one candidate representing a major political party.
-
C.
percentageOtherMajorCandidate
Indicates the proportion of support or votes received by candidates other than the main or major candidates in a given contest or election.
-
D.
mainCandidates
Indicates that the referenced entities are the primary or most prominent candidates within a given selection or context.
-
E.
majoritySeats
Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:08 p.m.