Triple
T2431217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell Big Red men's basketball |
E52849
|
entity |
| Predicate | NCAATournamentBestResultSeason |
P39159
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Cornell Big Red men's basketball, NCAATournamentBestResultSeason, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAATournamentBestResultSeason Context triple: [Cornell Big Red men's basketball, NCAATournamentBestResultSeason, 2010]
-
A.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
B.
NCAATournamentAppearancesApprox
Indicates that an entity has participated in the NCAA Tournament, with the count of appearances given as an approximate rather than an exact value.
-
C.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
D.
NCAATournamentEliteEightAppearances
Indicates the number of times an entity has reached the Elite Eight round of the NCAA basketball tournament.
-
E.
firstNCAATournamentWin
Indicates the event in which an entity achieves its first-ever victory in an NCAA tournament game.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc73d2e48190b6ad5f3ee75b74eb |
completed | March 7, 2026, 6:57 a.m. |
Created at: March 6, 2026, 9:43 p.m.