Triple
T35954221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC 5 Chicago |
E1039812
|
entity |
| Predicate | channelBrandingOf |
P11989
|
FINISHED |
| Object | WMAQ-TV |
—
|
NE NERFINISHED |
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: WMAQ-TV | Statement: [NBC 5 Chicago, channelBrandingOf, WMAQ-TV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelBrandingOf Context triple: [NBC 5 Chicago, channelBrandingOf, WMAQ-TV]
-
A.
brandChannel
Indicates a relationship where a brand is associated with, represented on, or communicated through a particular channel or medium.
-
B.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual identity.
-
C.
brandingCategory
Indicates the classification of an entity into a specific branding-related category or type.
-
D.
hasBranding
chosen
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
E.
usesChannelNumberInBranding
Indicates that an entity incorporates its broadcast or channel number as part of its public branding or identity.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.