Triple
T1168837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States men's national soccer team |
E24863
|
entity |
| Predicate | bestWorldCupResultYear |
P24548
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [United States men's national soccer team, bestWorldCupResultYear, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestWorldCupResultYear Context triple: [United States men's national soccer team, bestWorldCupResultYear, 1930]
-
A.
bestWorldCupResult
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
-
B.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
C.
wonConfederationsCup
Indicates that the subject has won the FIFA Confederations Cup tournament.
-
D.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
E.
resultingWorldSeries
Indicates the specific World Series event or outcome that results from a given preceding condition, season, or set of circumstances.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:45 p.m.