Triple
T27629619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BB |
E696301
|
entity |
| Predicate | formerPrimaryBusinessOfIssuer |
P14354
|
FINISHED |
| Object | smartphone manufacturing |
—
|
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: smartphone manufacturing | Statement: [BB, formerPrimaryBusinessOfIssuer, smartphone manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerPrimaryBusinessOfIssuer Context triple: [BB, formerPrimaryBusinessOfIssuer, smartphone manufacturing]
-
A.
formerCoreBusiness
chosen
Indicates that an entity was previously the main or primary line of business for another entity but no longer holds that status.
-
B.
hadPrimaryBusinessModel
Indicates that an entity’s main or central way of generating revenue or creating economic value was based on a specified business model.
-
C.
formerOrganization
Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
-
D.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
E.
formerPrimaryUse
Indicates that something was previously used as the main or principal function or purpose of an entity, but is no longer its current primary use.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: April 27, 2026, 2:20 p.m.