Triple
T14819604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel |
E348409
|
entity |
| Predicate | hasEcoFeature |
P83569
|
FINISHED |
| Object | concentrated formula to reduce packaging |
—
|
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: concentrated formula to reduce packaging | Statement: [Ariel, hasEcoFeature, concentrated formula to reduce packaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcoFeature Context triple: [Ariel, hasEcoFeature, concentrated formula to reduce packaging]
-
A.
hasSustainabilityFeature
chosen
Indicates that an entity includes or is associated with a feature, attribute, or characteristic that contributes to environmental, social, or economic sustainability.
-
B.
hasEnvironmentalControl
Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
-
C.
hasParkFeature
Indicates that a park includes, contains, or is associated with a specific feature or amenity.
-
D.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
-
E.
hasElectronicsFeature
Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:50 a.m.