Triple
T28858275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkin Blower |
E728794
|
entity |
| Predicate | associatedMake |
P140875
|
FINISHED |
| Object | Bentley |
E38523
|
NE 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: Bentley | Statement: [Birkin Blower, associatedMake, Bentley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMake Context triple: [Birkin Blower, associatedMake, Bentley]
-
A.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
-
B.
vehicleBrandAssociated
chosen
Indicates that there is an association or linkage between a vehicle and a particular brand.
-
C.
makerOf
Indicates that one entity is the creator, producer, or manufacturer of another entity.
-
D.
associatedMob
Indicates a relationship where one entity is linked or connected to a particular mob (mobile entity), typically as its counterpart, partner, or related unit.
-
E.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
- F. None of above.
Provenance (4 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a020ab9630c8190a55efd5704cc6043 |
completed | May 11, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25d8f25bc881909cc0762ae16d3264 |
completed | June 7, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_6a020800e2b88190a1a37e710d8c92bf |
completed | May 11, 2026, 4:46 p.m. |
Created at: April 28, 2026, 6:46 a.m.