Triple
T17039457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caffeine-Free Coca-Cola |
E413406
|
entity |
| Predicate | targetConsumerNeed |
P125614
|
FINISHED |
| Object | non-caffeinated beverage option |
—
|
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: non-caffeinated beverage option | Statement: [Caffeine-Free Coca-Cola, targetConsumerNeed, non-caffeinated beverage option]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetConsumerNeed Context triple: [Caffeine-Free Coca-Cola, targetConsumerNeed, non-caffeinated beverage option]
-
A.
targetInvestorNeed
Indicates that an action, product, or communication is specifically aimed at addressing or fulfilling an investor’s particular needs or requirements.
-
B.
targetConcern
Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
-
C.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
-
D.
needBased
Indicates that something is determined, allocated, or provided according to the level of need rather than uniform or fixed criteria.
-
E.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f5844c819097eade4a2b42ab91 |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.