Triple
T10401959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election of 1824 |
E245169
|
entity |
| Predicate | reasonForHouseDecision |
P23142
|
FINISHED |
| Object | no candidate won a majority of electoral votes |
—
|
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: no candidate won a majority of electoral votes | Statement: [United States presidential election of 1824, reasonForHouseDecision, no candidate won a majority of electoral votes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForHouseDecision Context triple: [United States presidential election of 1824, reasonForHouseDecision, no candidate won a majority of electoral votes]
-
A.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
B.
reasonForSale
Indicates the underlying cause, motivation, or circumstance that explains why something is being sold.
-
C.
decisionBasis
chosen
Indicates the underlying reason, criterion, or rationale on which a decision is made.
-
D.
reasonForAcquisition
Indicates the underlying purpose, motive, or justification for which one entity acquires another entity or asset.
-
E.
reasonForLocation
Indicates the cause, purpose, or justification for why an entity is at a particular location.
- 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_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. |
Created at: April 6, 2026, 12:08 p.m.