Triple
T2841872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alf Landon |
E62487
|
entity |
| Predicate | elected in |
P1240
|
FINISHED |
| Object | 1932 Kansas gubernatorial election |
—
|
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: 1932 Kansas gubernatorial election | Statement: [Alf Landon, elected in, 1932 Kansas gubernatorial election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elected in Context triple: [Alf Landon, elected in, 1932 Kansas gubernatorial election]
-
A.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
-
B.
electedCandidate
chosen
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
-
C.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
-
D.
electedFrom
Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
-
E.
appointedOrElected
Indicates that an entity attained a position, role, or office through either an appointment process or an electoral process.
- 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_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. |
Created at: March 6, 2026, 10:01 p.m.