Triple
T35822673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Cranston |
E1035544
|
entity |
| Predicate | styleOfBusiness |
P101071
|
FINISHED |
| Object | temperance tea rooms |
—
|
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: temperance tea rooms | Statement: [Catherine Cranston, styleOfBusiness, temperance tea rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfBusiness Context triple: [Catherine Cranston, styleOfBusiness, temperance tea rooms]
-
A.
settingOfBusiness
Indicates the location or environment in which a business operates or conducts its activities.
-
B.
stateOfBusiness
Indicates the current operational or financial condition or status of a business at a given point in time.
-
C.
isBusinessOf
Indicates that one entity is the business, commercial concern, or enterprise associated with, owned by, or operated by another entity.
-
D.
businessModelType
Indicates the type or category of business model that characterizes how an entity creates, delivers, and captures value.
-
E.
businessTrait
chosen
Indicates that an entity possesses a particular business-related characteristic, quality, or attribute in relation to another entity or context.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.