Triple
T108731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox |
E2195
|
entity |
| Predicate | broadcasts |
P833
|
FINISHED |
| Object | National Football League games |
—
|
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: National Football League games | Statement: [Fox, broadcasts, National Football League games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcasts Context triple: [Fox, broadcasts, National Football League games]
-
A.
broadcastNetwork
chosen
Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
-
B.
broadcastRegion
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
-
C.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
D.
broadcastAntenna
Indicates that an entity functions as a broadcast antenna used to transmit signals over a distance.
-
E.
typicalBroadcastMonth
Indicates the month in which something is most commonly or characteristically broadcast.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25711f6788190a22252ea3a3af394 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563fd2fc819090265edbfe3092d6 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.