Triple
T19997073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Cavaliers rowing |
E494220
|
entity |
| Predicate | NCAAAppearances |
P138277
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Virginia Cavaliers rowing, NCAAAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAAAppearances Context triple: [Virginia Cavaliers rowing, NCAAAppearances, multiple]
-
A.
NCAABaseballTournamentAppearances
Indicates that an entity (such as a team or school) has participated in one or more NCAA baseball tournaments.
-
B.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
C.
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.
-
D.
NCAATournamentChampionshipGameAppearances
Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
-
E.
NCAAFinalFourAppearances
Indicates the number of times a team has reached the semifinal round (Final Four) of the NCAA football championship structure, if such a format is being referenced.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe549108190947a4d1a587c08f8 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:32 p.m.