Triple
T2841879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alf Landon |
E62487
|
entity |
| Predicate | number of states carried in 1936 election |
P42971
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Alf Landon, number of states carried in 1936 election, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: number of states carried in 1936 election Context triple: [Alf Landon, number of states carried in 1936 election, 2]
-
A.
hasElectoralVotes
Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
-
B.
electoralVotesReceived
Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
-
C.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
D.
rankInElectoralCollege
Indicates the position or standing an entity holds within the ordering of members in an electoral college for a given election or context.
-
E.
RooseveltPopularVotes
Indicates the number of popular votes received by Roosevelt in a given election or voting context.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf16d0c08190bb8de4a4160b4414 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde4895dc819097c396c5d31ac1d1 |
completed | March 7, 2026, 8:14 a.m. |
Created at: March 6, 2026, 10:01 p.m.