Triple
T10608373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTZ |
E275936
|
entity |
| Predicate | logoIndicates |
P94913
|
FINISHED |
| Object | product contains UTZ certified ingredients |
—
|
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: product contains UTZ certified ingredients | Statement: [UTZ, logoIndicates, product contains UTZ certified ingredients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logoIndicates Context triple: [UTZ, logoIndicates, product contains UTZ certified ingredients]
-
A.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
B.
logoFeature
Indicates that an entity serves as a distinctive visual element or component within a logo.
-
C.
logoUsedBy
Indicates that a particular logo is employed or displayed by a specific entity as part of its identity, branding, or representation.
-
D.
logoType
Indicates the specific category or style of a logo associated with an entity (e.g., wordmark, symbol, combination mark).
-
E.
logoImage
Indicates the image that serves as the logo representing an entity.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.