Triple
T16946380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panasonic Europe |
E411077
|
entity |
| Predicate | channelStrategy |
P125333
|
FINISHED |
| Object | retail channels in Europe |
—
|
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: retail channels in Europe | Statement: [Panasonic Europe, channelStrategy, retail channels in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelStrategy Context triple: [Panasonic Europe, channelStrategy, retail channels in Europe]
-
A.
channels
Indicates that one entity serves as a medium, route, or conduit through which another entity is directed, transmitted, or delivered.
-
B.
channelSpecialization
Indicates that one channel is a more specialized or focused version of another, typically refining or narrowing the scope of the broader channel.
-
C.
channelLining
Indicates the presence or application of a protective or functional lining along the interior surface of a channel or conduit.
-
D.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
E.
channelModification
Indicates a change made to a communication channel’s properties, structure, or configuration.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb25e0c8190948e62d9575ae9cd |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.