Triple
T11299142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Den |
E267530
|
entity |
| Predicate | sportTypeSupported |
P15165
|
FINISHED |
| Object | basketball |
—
|
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: basketball | Statement: [The Den, sportTypeSupported, basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportTypeSupported Context triple: [The Den, sportTypeSupported, basketball]
-
A.
includesSport
chosen
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
B.
sportEventType
Indicates the specific kind or category of sport associated with a given sporting event.
-
C.
sportTypeGoverned
Indicates that a governing body or organization has regulatory authority over a particular type of sport.
-
D.
appliesToSports
Indicates that something is relevant, appropriate, or specifically intended for use in the context of sports.
-
E.
performsForSport
Indicates that an entity carries out an action or activity specifically in the context of a particular sport.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.