Triple
T13787308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WFLD |
E331295
|
entity |
| Predicate | offersSportsProgramming |
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: [WFLD, offersSportsProgramming, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSportsProgramming Context triple: [WFLD, offersSportsProgramming, yes]
-
A.
sportsProgram
Indicates a relationship where an entity is a sports-related program, event, or broadcast organized or provided by another entity.
-
B.
hostsPrograms
Indicates that one entity provides the venue, platform, or infrastructure for programs organized, run, or presented by another entity.
-
C.
hasSportingEvent
Indicates that a sporting event is associated with, held at, or organized by a given entity.
-
D.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
E.
streamsSport
Indicates that one entity broadcasts or provides live coverage of a particular sport.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.