Triple
T16996195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setra |
E412320
|
entity |
| Predicate | hasModelSeries |
P39689
|
FINISHED |
| Object | Setra MultiClass |
E412320
|
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: Setra MultiClass | Statement: [Setra, hasModelSeries, Setra MultiClass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setra MultiClass Context triple: [Setra, hasModelSeries, Setra MultiClass]
-
A.
Setra TopClass
Setra TopClass is a premium line of luxury touring coaches known for their high comfort, advanced technology, and distinctive design within the Setra brand.
-
B.
Setra ComfortClass
Setra ComfortClass is a series of premium touring coaches known for their high comfort, advanced safety features, and efficient long-distance performance.
-
C.
Setra Systems
Setra Systems is a manufacturer of high-precision sensing and measurement instruments, particularly known for its pressure and environmental sensors used in industrial, HVAC, and critical environment applications.
-
D.
Setra
chosen
Setra is a German brand of premium coaches and buses known for its high-quality engineering and comfort, produced by Daimler AG.
-
E.
SETRA
SETRA is a French public engineering agency specializing in the design, expertise, and technical support of major transport infrastructure, particularly bridges and roads.
- 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.