Triple
T1041836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Round of NCAA Division I Men's Basketball Tournament |
E22484
|
entity |
| Predicate | typeOfMatch |
P10212
|
FINISHED |
| Object | knockout game |
—
|
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: knockout game | Statement: [Second Round of NCAA Division I Men's Basketball Tournament, typeOfMatch, knockout game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMatch Context triple: [Second Round of NCAA Division I Men's Basketball Tournament, typeOfMatch, knockout game]
-
A.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
B.
typeOfLeagueSystem
Indicates that one entity is the kind or structure of league system to which another entity belongs or in which it operates.
-
C.
matingSystem
Indicates the type or pattern of reproductive pairing or mating relationships that typically occurs within a species or population.
-
D.
matchType
chosen
Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
-
E.
competitionStage
Indicates the specific phase or round within a broader competition in which the related entities participate or are situated.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b845fa8c8190a7b69629883b62e2 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.