Triple
T5166082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC7 |
E116560
|
entity |
| Predicate | channelNumberBranding |
P45105
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [ABC7, channelNumberBranding, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelNumberBranding Context triple: [ABC7, channelNumberBranding, 7]
-
A.
usesChannelNumberInBranding
chosen
Indicates that an entity incorporates its broadcast or channel number as part of its public branding or identity.
-
B.
channelNumber
Indicates the specific numeric identifier assigned to a channel within a system or medium.
-
C.
formerChannelNumber
Indicates that an entity was previously assigned or used a particular channel number before a change to its current channel designation.
-
D.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
E.
ownedStationsBranding
Indicates that a particular branding is used by stations that are owned by a specified entity.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792af4648190934cf2db523f6921 |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.