Triple
T10803268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas A&M Aggies women’s basketball |
E254896
|
entity |
| Predicate | eliteEightAppearances |
P11193
|
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: [Texas A&M Aggies women’s basketball, eliteEightAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eliteEightAppearances Context triple: [Texas A&M Aggies women’s basketball, eliteEightAppearances, multiple]
-
A.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
B.
EliteEightAppearances
Indicates that an entity (typically a sports team) has reached the quarterfinal round, known as the Elite Eight, in an NCAA tournament.
-
C.
runnerUpConsecutiveAppearances
Indicates that an entity has achieved runner-up status in a competition for a specified number of consecutive appearances or editions.
-
D.
NCAATournamentEliteEightAppearances
chosen
Indicates the number of times an entity has reached the Elite Eight round of the NCAA basketball tournament.
-
E.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336feff88190b638b7d62d34da0e |
completed | April 9, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.