Triple
T8193149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1896 |
E191362
|
entity |
| Predicate | campaignStyleLoser |
P81419
|
FINISHED |
| Object | whistle-stop tour |
—
|
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: whistle-stop tour | Statement: [United States presidential election, 1896, campaignStyleLoser, whistle-stop tour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignStyleLoser Context triple: [United States presidential election, 1896, campaignStyleLoser, whistle-stop tour]
-
A.
loserStatus
Indicates that an entity has been judged or designated as the loser in a particular comparison, contest, or evaluative context.
-
B.
mainEventLoser
Indicates that the subject entity is the loser of the primary or main event in a given context.
-
C.
pennantLoser
Indicates that a team lost a league or conference pennant series or championship to another team.
-
D.
finalBoutLoser
Indicates that an entity is the competitor who lost in the final bout of a match, tournament, or competition.
-
E.
loserReceives
Indicates that the entity who loses in a contest, game, or comparison is the one that receives a specified item, outcome, or consequence.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1d7aa48190adbbce88b3bed1a3 |
completed | March 31, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:42 p.m.