Triple
T16996325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daimler Buses |
E412323
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Setra |
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 | Statement: [Daimler Buses, brand, Setra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setra Context triple: [Daimler Buses, brand, Setra]
-
A.
Setra
chosen
Setra is a German brand of premium coaches and buses known for its high-quality engineering and comfort, produced by Daimler AG.
-
B.
Moorenweis
Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
-
C.
Elstra
Elstra is a small town in the Bautzen district of the German federal state of Saxony.
-
D.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
-
E.
Ersa
Ersa is a minor figure in Greek mythology known as the personification of dew, traditionally regarded as a daughter of the Moon goddess Selene.
- 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_6a00dc18e6988190b42b3d251cf00b98 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.