Triple
T5722405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Diesel |
E126176
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object | MAN AG |
E37749
|
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: MAN AG | Statement: [Rudolf Diesel, workedFor, MAN AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAN AG Context triple: [Rudolf Diesel, workedFor, MAN AG]
-
A.
MANN
MANN is a major Italian archaeological museum in Naples renowned for its extensive collections of Greek, Roman, and particularly Pompeian antiquities.
-
B.
Mennekes
Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
-
C.
MAN
chosen
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
-
D.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
-
E.
Manf
Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e6c444819089270b188e60cc67 |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a80aefc8190b6ea35ab405ea502 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:46 p.m.