Triple
T2151167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston |
E47182
|
entity |
| Predicate | nicotineDeliveryMethod |
P11941
|
FINISHED |
| Object | combustible cigarette |
—
|
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: combustible cigarette | Statement: [Winston, nicotineDeliveryMethod, combustible cigarette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicotineDeliveryMethod Context triple: [Winston, nicotineDeliveryMethod, combustible cigarette]
-
A.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
-
B.
isNonSmoking
Indicates that the subject is designated or required to be free from smoking or tobacco use.
-
C.
smokedOver
Indicates that one entity smoked (used tobacco or similar substances) for a duration exceeding a specified time or threshold.
-
D.
consumptionMethod
chosen
Indicates the manner or process by which something is consumed, used up, or ingested.
-
E.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4747a0819080e2234f3ea8995f |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.