Triple
T8929972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAN Truck & Bus |
E212627
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | TRATON SE |
E38078
|
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: TRATON SE | Statement: [MAN Truck & Bus, parentOrganization, TRATON SE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRATON SE Context triple: [MAN Truck & Bus, parentOrganization, TRATON SE]
-
A.
Traton
chosen
Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
-
B.
Casa Transports SA
Casa Transports SA is the public company responsible for managing and developing urban transport infrastructure and services in Casablanca, Morocco, including the city’s tramway network.
-
C.
Systra
Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
-
D.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
E.
Total S.A.
Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6676d5d881908ce78cbb5561a68b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba63544081909394500f28b34ccb |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:57 p.m.