Triple
T24037794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 NCAA Division I men's basketball championship game |
E595282
|
entity |
| Predicate | houstonNickname |
P154620
|
FINISHED |
| Object | Phi Slama Jama |
—
|
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: Phi Slama Jama | Statement: [1984 NCAA Division I men's basketball championship game, houstonNickname, Phi Slama Jama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houstonNickname Context triple: [1984 NCAA Division I men's basketball championship game, houstonNickname, Phi Slama Jama]
-
A.
cityNickname
Indicates that one entity is commonly used as an informal or alternative name for a city.
-
B.
metropolitanAreaNickname
Indicates that a metropolitan area is known by a particular informal or colloquial nickname.
-
C.
previousHoustonHomeBallpark
Indicates that one ballpark served as the home stadium for a Houston team immediately before another specified ballpark.
-
D.
regionalNickname
Indicates that one entity is an informal or colloquial name used for another entity within a specific geographic region.
-
E.
cityNicknameAssociation
Indicates an associative relationship where a particular nickname is used to refer to or characterize a specific city.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d6ce7c8190a41b2d9b459881bf |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:57 p.m.