Triple
T1472406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1968 United States presidential election |
E27163
|
entity |
| Predicate | carriedStatesRunnerUp |
P6368
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [1968 United States presidential election, carriedStatesRunnerUp, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedStatesRunnerUp Context triple: [1968 United States presidential election, carriedStatesRunnerUp, 13]
-
A.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
B.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
-
C.
runnerUpBasedIn
Indicates that an entity serving as a runner-up is located in or associated with a particular place or base of operations.
-
D.
worldCupRunnerUp
Indicates that an entity finished in second place in a FIFA World Cup tournament.
-
E.
statesCarriedByLoser
chosen
Indicates that the specified states are those won or carried by the losing party or candidate in an election or contest.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5dc90e481908a4935f266bc7850 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.