Triple
T19619165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raufoss |
E470951
|
entity |
| Predicate | developsProductsFor |
P5334
|
FINISHED |
| Object | automotive industry |
—
|
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: automotive industry | Statement: [Raufoss, developsProductsFor, automotive industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsProductsFor Context triple: [Raufoss, developsProductsFor, automotive industry]
-
A.
developedProductType
Indicates that an entity (such as a project, activity, or organization) has resulted in or produced a specific type of product.
-
B.
developsTechnologyFor
chosen
Indicates that one entity creates, improves, or engineers technology specifically intended to be used by or to benefit another entity.
-
C.
developedForProduct
Indicates that something (such as a component, feature, or service) was specifically created or tailored to be used with or support a particular product.
-
D.
developmentFor
Indicates that one entity is created, adapted, or advanced specifically for the benefit, use, or purpose of another entity.
-
E.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e4570c81909fc4f9b871346337 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.