Triple
T1937338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Terrapins men's basketball |
E41471
|
entity |
| Predicate | wonNationalChampionshipYear |
P31224
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Maryland Terrapins men's basketball, wonNationalChampionshipYear, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonNationalChampionshipYear Context triple: [Maryland Terrapins men's basketball, wonNationalChampionshipYear, 2002]
-
A.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
B.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
C.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
D.
NCAAChampionship
Indicates that an entity has won, holds, or is otherwise associated with an NCAA (National Collegiate Athletic Association) championship title in a particular sport or event.
-
E.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c752fc81909baf38ff1cdeb18c |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.