Triple
T2170848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Fe Natural Tobacco Company |
E48419
|
entity |
| Predicate | hasPackagingFeature |
P182
|
FINISHED |
| Object | brightly colored cigarette packs |
—
|
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: brightly colored cigarette packs | Statement: [Santa Fe Natural Tobacco Company, hasPackagingFeature, brightly colored cigarette packs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPackagingFeature Context triple: [Santa Fe Natural Tobacco Company, hasPackagingFeature, brightly colored cigarette packs]
-
A.
packagingRequirement
Indicates the specific conditions, standards, or constraints that must be met in how something is packaged.
-
B.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
C.
hasMountingFeature
Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
-
D.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
E.
logisticsFeature
Indicates that something possesses a characteristic, capability, or function specifically related to logistics operations or processes.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.