Triple
T21705006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pons HP 40 |
E535749
|
entity |
| Predicate | usesChassis |
P66199
|
FINISHED |
| Object | Kalex |
—
|
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: Kalex | Statement: [Pons HP 40, usesChassis, Kalex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalex Context triple: [Pons HP 40, usesChassis, Kalex]
-
A.
Kalex
chosen
Kalex is a German racing motorcycle chassis manufacturer best known for its dominant, championship-winning frames in the Moto2 World Championship.
-
B.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
C.
Kawasaki More’s
Kawasaki More’s is a shopping complex located in Kawasaki-ku, Japan, offering a variety of retail stores, dining options, and services.
-
D.
Kawasaki Daishi
Kawasaki Daishi is a major Shingon Buddhist temple in Kawasaki, Japan, renowned as a popular site for New Year’s visits and prayers for protection from misfortune.
-
E.
Puch
Puch is a locality that forms part of the municipality of Puch bei Hallein in the Austrian state of Salzburg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.