Triple
T7094865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 NCAA Division I men's basketball tournament |
E165297
|
entity |
| Predicate | runnerUpFinalFourCount |
P74505
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [1990 NCAA Division I men's basketball tournament, runnerUpFinalFourCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpFinalFourCount Context triple: [1990 NCAA Division I men's basketball tournament, runnerUpFinalFourCount, 8]
-
A.
runnerUpScore
Indicates the score achieved by the participant or entity that finished in second place in a competition or ranking.
-
B.
runnerUpRank
Indicates the position or ranking assigned to an entity that finishes immediately after the winner (or near the top) in a competition or ordered list.
-
C.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
D.
NCAATournamentRunnerUpFinishes
Indicates that a team finished as the runner-up (second place) in a specific NCAA Tournament.
-
E.
finalFourAppearance
Indicates that an entity has reached the semifinal round (Final Four) of a tournament or championship.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.