Triple
T11731279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZYN |
E278901
|
entity |
| Predicate | isSpitlessAlternativeTo |
P5887
|
FINISHED |
| Object | chewing tobacco |
—
|
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: chewing tobacco | Statement: [ZYN, isSpitlessAlternativeTo, chewing tobacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpitlessAlternativeTo Context triple: [ZYN, isSpitlessAlternativeTo, chewing tobacco]
-
A.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
B.
isSmokeless
Indicates that something does not produce smoke or is free from smoking-related emissions or activity.
-
C.
isExcretedVia
Indicates that a substance or waste product leaves an organism’s body through a specified anatomical route or excretory mechanism.
-
D.
hasAlternativeVocalization
Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
-
E.
doesNotFeedOn
Indicates that one entity does not use another entity as a source of food or nourishment.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d94de08190a7184cf26d8cb94e |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.