Triple
T26315923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opel family |
E661972
|
entity |
| Predicate | businessTransition |
P74723
|
FINISHED |
| Object | from sewing machines to bicycles to cars |
—
|
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: from sewing machines to bicycles to cars | Statement: [Opel family, businessTransition, from sewing machines to bicycles to cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessTransition Context triple: [Opel family, businessTransition, from sewing machines to bicycles to cars]
-
A.
businessEvolution
chosen
Indicates how a business changes, grows, or transforms over time in response to internal developments and external conditions.
-
B.
businessVenture
Indicates a relationship where entities jointly engage in, operate, or are involved with a commercial or entrepreneurial undertaking.
-
C.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
D.
business
Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
-
E.
businessActivities
Indicates the commercial operations, transactions, or services that an entity conducts as part of its business.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 10:25 p.m.