Triple
T315518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Wayne Assembly |
E7696
|
entity |
| Predicate | hasManufacturingProcess |
P2475
|
FINISHED |
| Object | body shop |
—
|
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: body shop | Statement: [Fort Wayne Assembly, hasManufacturingProcess, body shop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManufacturingProcess Context triple: [Fort Wayne Assembly, hasManufacturingProcess, body shop]
-
A.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
B.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
C.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
E.
mainManufacturingSite
Indicates the primary location where an entity’s products are manufactured or produced.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea6462148190825acc57f6d2adaf |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e943f12c8190883854aeed974260 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.