Triple
T3460521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Rey Network |
E73011
|
entity |
| Predicate | formerChannelNumber |
P48903
|
FINISHED |
| Object | Univision-owned stations subchannels |
—
|
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: Univision-owned stations subchannels | Statement: [El Rey Network, formerChannelNumber, Univision-owned stations subchannels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerChannelNumber Context triple: [El Rey Network, formerChannelNumber, Univision-owned stations subchannels]
-
A.
channelNumber
Indicates the specific numeric identifier assigned to a channel within a system or medium.
-
B.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
C.
formerAnalogChannel
Indicates that an entity was previously an analog channel but no longer holds that status.
-
D.
originalChannelInUS
Indicates that the entity was originally broadcast or distributed on a specific television or media channel in the United States.
-
E.
usesChannelNumberInBranding
Indicates that an entity incorporates its broadcast or channel number as part of its public branding or identity.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae5ff848190880fa416a123bc4a |
completed | March 8, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.