Triple
T13359596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutz AG |
E318785
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | DEUTZ |
E318785
|
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: DEUTZ | Statement: [Deutz AG, hasBrand, DEUTZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEUTZ Context triple: [Deutz AG, hasBrand, DEUTZ]
-
A.
Deutz AG
chosen
Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
-
B.
MAN Nutzfahrzeuge AG
MAN Nutzfahrzeuge AG was the former name of the German commercial vehicle manufacturer now known as MAN Truck & Bus, a major producer of trucks and buses in Europe.
-
C.
Steyr Tractor
Steyr Tractor is an Austrian agricultural machinery brand known for producing high-quality tractors, historically linked to the former industrial conglomerate Steyr-Daimler-Puch.
-
D.
Diehl
Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
-
E.
DAF Trucks
DAF Trucks is a Dutch manufacturer of commercial vehicles and heavy-duty trucks known for its reliable long-haul and distribution trucks across Europe and beyond.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da6289edf4819099b21cfbb668e923 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267ab580819091577c24dd952c99 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:32 p.m.