Triple
T1207035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Manufacturing UK |
E25911
|
entity |
| Predicate | hasPrimaryActivity |
P4153
|
FINISHED |
| Object | manufacture of motor vehicles |
—
|
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: manufacture of motor vehicles | Statement: [Toyota Manufacturing UK, hasPrimaryActivity, manufacture of motor vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryActivity Context triple: [Toyota Manufacturing UK, hasPrimaryActivity, manufacture of motor vehicles]
-
A.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
B.
hasKeyActivity
chosen
Indicates that an entity is associated with or performs a primary or central activity.
-
C.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
D.
hasApp
Indicates that an entity possesses, provides, or is associated with a particular application.
-
E.
hasPrimaryStateServed
Indicates that an entity has served or operated primarily within a specified state or state-level jurisdiction.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc483b481908e5bfef5d2f4fc5a |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.