Triple
T37398337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukes of Durham |
E928919
|
entity |
| Predicate | associatedWithIndustryShift |
P47404
|
FINISHED |
| Object | transition from chewing tobacco to cigarettes in the U.S. |
—
|
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: transition from chewing tobacco to cigarettes in the U.S. | Statement: [Dukes of Durham, associatedWithIndustryShift, transition from chewing tobacco to cigarettes in the U.S.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithIndustryShift Context triple: [Dukes of Durham, associatedWithIndustryShift, transition from chewing tobacco to cigarettes in the U.S.]
-
A.
parentIndustryChange
Indicates that the parent industry of an entity has been modified from one industry classification to another.
-
B.
relationToIndustry
chosen
Indicates how an entity is connected or relevant to a particular industry, such as through involvement, impact, or association.
-
C.
occupationalChange
Indicates a change in a person’s job, profession, or occupational status over time.
-
D.
associatedWithEconomicSector
Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
-
E.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.