Triple
T30980301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studebaker-Worthington |
E789352
|
entity |
| Predicate | hasNotableBrandHeritageFrom |
P181116
|
FINISHED |
| Object | Studebaker |
—
|
NE NERFINISHED |
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: Studebaker | Statement: [Studebaker-Worthington, hasNotableBrandHeritageFrom, Studebaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBrandHeritageFrom Context triple: [Studebaker-Worthington, hasNotableBrandHeritageFrom, Studebaker]
-
A.
hasHeritageBrand
Indicates that an entity is associated with or recognized as a long-established, traditional, or historically significant brand.
-
B.
hasNotableBrandAssociation
Indicates that there is a significant, recognizable, or influential brand linked or connected to the subject entity.
-
C.
hasNotableSubBrand
Indicates that an entity includes or owns a distinct, well-known sub-brand associated with it.
-
D.
hasBrandArchitecture
Indicates that one entity defines, structures, or governs the brand architecture (the organized system of brands, sub-brands, and their relationships) of another entity.
-
E.
laterBrandOf
chosen
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
Created at: April 29, 2026, 8:55 p.m.