Triple
T30406026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA men's basketball national championship (with Maryland, 2002) |
E773479
|
entity |
| Predicate | numberOfTeamsInTournament |
P6986
|
FINISHED |
| Object | 64 |
—
|
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: 64 | Statement: [NCAA men's basketball national championship (with Maryland, 2002), numberOfTeamsInTournament, 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsInTournament Context triple: [NCAA men's basketball national championship (with Maryland, 2002), numberOfTeamsInTournament, 64]
-
A.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
B.
numberOfTeamsKnockoutPhase
Indicates the number of teams that participate in the knockout phase of a competition or tournament.
-
C.
numberOfTeamsGroupStage
Indicates the total count of teams that participate in the group stage of a competition or tournament.
-
D.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
roundsPerTournament
Indicates the number of rounds that occur within a single tournament.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00717f539c8190b70dd0e72c6f7d24 |
completed | May 10, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a00710278fc81908889afdcf459ff01 |
completed | May 10, 2026, 11:50 a.m. |
Created at: April 29, 2026, 8:03 p.m.