Triple
T12934997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Sports Go |
E309484
|
entity |
| Predicate | providedContentType |
P640
|
FINISHED |
| Object | live sports |
—
|
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: live sports | Statement: [Fox Sports Go, providedContentType, live sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedContentType Context triple: [Fox Sports Go, providedContentType, live sports]
-
A.
describesContentType
Indicates that one entity specifies or characterizes the type or category of content associated with another entity.
-
B.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
C.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
D.
hasContentType
chosen
Indicates that an entity is associated with or classified by a specific type of content.
-
E.
mainContentType
Indicates the primary type or category of content associated with an entity or resource.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.