Triple
T3643956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutgers Scarlet Knights wrestling team |
E77252
|
entity |
| Predicate | firstIndividualNCAATitlesYear |
P14850
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Rutgers Scarlet Knights wrestling team, firstIndividualNCAATitlesYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIndividualNCAATitlesYear Context triple: [Rutgers Scarlet Knights wrestling team, firstIndividualNCAATitlesYear, 2019]
-
A.
firstNCAATournamentWin
Indicates the event in which an entity achieves its first-ever victory in an NCAA tournament game.
-
B.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
C.
NCAATournamentMostOutstandingPlayer
Indicates that the subject was selected as the Most Outstanding Player of the NCAA Tournament in the relevant season or event.
-
D.
firstNBAChampionship
Indicates the event or time at which an entity (typically a team or player) wins its first NBA championship title.
-
E.
firstWinnerYear
chosen
Indicates the year in which an entity first won a particular competition, award, or title.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.