Triple
T5701944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightjet |
E125684
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | ÖBB |
E112020
|
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: ÖBB | Statement: [Nightjet, operator, ÖBB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ÖBB Context triple: [Nightjet, operator, ÖBB]
-
A.
ÖBB
chosen
ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
-
B.
Deutsche Bahn
Deutsche Bahn is Germany's state-owned national railway company and one of the largest rail and logistics operators in Europe.
-
C.
MÁV (Hungarian State Railways)
MÁV (Hungarian State Railways) is Hungary’s national railway company, responsible for operating the country’s passenger and freight rail services and managing much of its rail infrastructure.
-
D.
Czech Railways
Czech Railways is the state-owned national railway operator of the Czech Republic, providing passenger and freight rail services across the country and internationally.
-
E.
Swiss Federal Railways
Swiss Federal Railways is Switzerland’s national railway company, responsible for operating the majority of the country’s passenger and freight rail services and managing much of its rail infrastructure.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0245581988190a819b8137533ed31 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07de28424819090ff1f4a4b6cc9c0 |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:45 p.m.