Triple
T23836489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panach' |
E590869
|
entity |
| Predicate | targetConsumerPreference |
P481
|
FINISHED |
| Object | alternative to traditional beer |
—
|
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: alternative to traditional beer | Statement: [Panach', targetConsumerPreference, alternative to traditional beer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetConsumerPreference Context triple: [Panach', targetConsumerPreference, alternative to traditional beer]
-
A.
marketPreference
Indicates a relationship where one entity favors, targets, or prioritizes a particular market or market segment over others.
-
B.
targetConsumerNeed
Indicates that something is intended to address, satisfy, or be directed toward a specific need or requirement of a consumer.
-
C.
statedPreference
Indicates that one entity has explicitly expressed or declared a preference for another entity or option.
-
D.
targetAudienceRatingContext
Indicates the contextual conditions or setting (such as platform, region, or usage scenario) under which a particular audience rating is intended to apply.
-
E.
targetMarket
chosen
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c882f9148190bb28fe7566ef1e70 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:07 p.m.