Triple
T33114912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCOU |
E847432
|
entity |
| Predicate | hasSportsProgramming |
P111460
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [KCOU, hasSportsProgramming, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsProgramming Context triple: [KCOU, hasSportsProgramming, yes]
-
A.
offersSportsProgramming
chosen
Indicates that one entity provides or makes available sports-related programming or content to another entity or audience.
-
B.
hasSportsTalkShows
Indicates that an entity offers or features talk shows focused on sports-related topics.
-
C.
sportsProgram
Indicates a relationship where an entity is a sports-related program, event, or broadcast organized or provided by another entity.
-
D.
hasNationalProgramming
Indicates that an entity provides or is associated with programming content that is broadcast or distributed at a national level.
-
E.
includesSportsFilm
Indicates that the subject entity contains, features, or encompasses sports-related films as part of its content or collection.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:27 a.m.