Triple
T30757181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 NCAA Division I men's basketball tournament |
E783119
|
entity |
| Predicate | runnerUpShortName |
P112543
|
FINISHED |
| Object | Kentucky Wildcats |
—
|
NE NERFINISHED |
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: Kentucky Wildcats | Statement: [2014 NCAA Division I men's basketball tournament, runnerUpShortName, Kentucky Wildcats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpShortName Context triple: [2014 NCAA Division I men's basketball tournament, runnerUpShortName, Kentucky Wildcats]
-
A.
runnerUpAbbreviation
chosen
Indicates that one entity is the standard abbreviated form used to denote the runner-up associated with another entity (such as a competition, event, or award).
-
B.
runnerUpNickname
Indicates that one entity is the nickname used for the runner-up position or second-place finisher in relation to another entity.
-
C.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
D.
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.
-
E.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f9887888190b67348ab0035412b |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:39 p.m.