Triple
T23553834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB Class 481 |
E578124
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | ABB Henschel |
—
|
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: ABB Henschel | Statement: [DB Class 481, manufacturer, ABB Henschel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABB Henschel Context triple: [DB Class 481, manufacturer, ABB Henschel]
-
A.
Thyssen-Henschel
chosen
Thyssen-Henschel was a German engineering and rolling stock manufacturer known for producing components and vehicles for rail transport, including high-speed trains.
-
B.
Siemens-Schuckertwerke
Siemens-Schuckertwerke was a major German electrical engineering and manufacturing company that formed part of the Siemens group and played a key role in industrial and urban development in early 20th-century Germany.
-
C.
Krupp
Krupp is a character from William Saroyan’s play "The Time of Your Life," serving as one of the many colorful figures populating the bar where the story unfolds.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Henschel & Sohn
Henschel & Sohn was a German engineering and manufacturing company best known for producing heavy military vehicles, including tanks, during World War II.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.