Triple
T17139064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming Cowboys and Cowgirls |
E415914
|
entity |
| Predicate | basketballNationalTitle |
P126255
|
FINISHED |
| Object | 1943 NCAA men's basketball championship |
—
|
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: 1943 NCAA men's basketball championship | Statement: [Wyoming Cowboys and Cowgirls, basketballNationalTitle, 1943 NCAA men's basketball championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basketballNationalTitle Context triple: [Wyoming Cowboys and Cowgirls, basketballNationalTitle, 1943 NCAA men's basketball championship]
-
A.
subjectNBAChampionship
Indicates that the subject has won an NBA championship title.
-
B.
conferenceTitlesNBA
Indicates that an NBA team has won a specified number of conference championship titles.
-
C.
NBAScoringTitle
Indicates that a player led the NBA in points per game for a given season, earning the league's scoring title.
-
D.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
E.
NBAChampion
Indicates that an entity has won the National Basketball Association (NBA) championship title for a given season.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d1277881909325ffd2a7aa4873 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.