Triple
T16996102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Star |
E412318
|
entity |
| Predicate | notableModelSeries |
P1503
|
FINISHED |
| Object | Western Star 4800 |
E412318
|
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: Western Star 4800 | Statement: [Western Star, notableModelSeries, Western Star 4800]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Western Star 4800 Context triple: [Western Star, notableModelSeries, Western Star 4800]
-
A.
Western Star
Western Star was a named passenger train of the Great Northern Railway that provided long-distance service across the northern United States.
-
B.
Western Star
chosen
Western Star is a North American manufacturer of heavy-duty trucks known for its rugged, customizable vehicles used in vocational, off-road, and long-haul applications.
-
C.
Peterbilt
Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
-
D.
Ford F-800
The Ford F-800 is a heavy-duty commercial truck model from Ford’s F-Series lineup, commonly used for vocational applications such as construction, delivery, and municipal services.
-
E.
Kenworth
Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d2879af081909665f9f838bcfbe7 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b433e688190ac8dda10638a197f |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.