Triple
T1440648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League men's basketball |
E31061
|
entity |
| Predicate | tournamentParticipants |
P2434
|
FINISHED |
| Object | top four teams in regular-season standings |
—
|
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: top four teams in regular-season standings | Statement: [Ivy League men's basketball, tournamentParticipants, top four teams in regular-season standings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentParticipants Context triple: [Ivy League men's basketball, tournamentParticipants, top four teams in regular-season standings]
-
A.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
otherTournament
Indicates a relationship where one tournament is distinct from and not the same as another tournament.
-
C.
teamParticipated
Indicates that a team took part in or was involved in a particular event, activity, or competition.
-
D.
rivalryTournament
Indicates a competitive relationship where entities repeatedly oppose each other in a structured tournament setting, emphasizing ongoing rivalry.
-
E.
hasParticipants
chosen
Indicates that an event, activity, or situation involves one or more entities as participants in it.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.