Triple
T12908993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pineapple Passionfruit Refresher |
E308800
|
entity |
| Predicate | marketingKeywords |
P65488
|
FINISHED |
| Object | bright |
—
|
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: bright | Statement: [Pineapple Passionfruit Refresher, marketingKeywords, bright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingKeywords Context triple: [Pineapple Passionfruit Refresher, marketingKeywords, bright]
-
A.
marketingEmphasized
Indicates that a marketing effort or message is given special focus, prominence, or priority relative to other aspects or activities.
-
B.
marketingAs
Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
-
C.
associatedKeyword
chosen
Indicates that one entity is linked to or characterized by a particular keyword used for identification, categorization, or retrieval.
-
D.
marketingUse
Indicates that something is used for marketing purposes, such as promotion, advertising, or brand communication.
-
E.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.