Triple
T4986708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ÖBB |
E112020
|
entity |
| Predicate | operatesService |
P5884
|
FINISHED |
| Object | Nightjet |
E125684
|
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: Nightjet | Statement: [ÖBB, operatesService, Nightjet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightjet Context triple: [ÖBB, operatesService, Nightjet]
-
A.
Nightjet
chosen
Nightjet is a network of overnight long-distance passenger trains operated by Austrian Federal Railways (ÖBB) across several European countries.
-
B.
Interflug
Interflug was the state-owned national airline of East Germany, operating international and domestic flights primarily within the Eastern Bloc during the Cold War.
-
C.
The Ryan Express
The Ryan Express is the famous nickname of Hall of Fame Major League Baseball pitcher Nolan Ryan, renowned for his overpowering fastball and record-setting strikeout totals.
-
D.
Brussels Airlines
Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
-
E.
Malpensa Express
Malpensa Express is a dedicated airport rail service linking Milan’s city center with Malpensa Airport, offering frequent and fast train connections for travelers.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727c25bc8190b72f6ddd3772c80a |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1ca3ec81908ad750cd9e899bcc |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:34 p.m.