Triple
T20707385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flytoget airport express train |
E508940
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Flytoget AS |
—
|
NE NERFINISHED |
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: Flytoget AS | Statement: [Flytoget airport express train, operator, Flytoget AS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flytoget AS Context triple: [Flytoget airport express train, operator, Flytoget AS]
-
A.
Norwegian Property ASA
Norwegian Property ASA is a Norwegian real estate investment company specializing in the ownership, development, and management of prime commercial properties.
-
B.
Flytoget
chosen
Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
-
C.
Skanska Norge
Skanska Norge is the Norwegian subsidiary of the multinational construction and development company Skanska, responsible for major building and infrastructure projects across Norway.
-
D.
Rom Eiendom
Rom Eiendom is a Norwegian real estate company that manages and develops properties associated with the country’s railway infrastructure.
-
E.
Remgro
Remgro is a South African investment holding company with a diversified portfolio spanning sectors such as financial services, healthcare, consumer products, and infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1917ce08190a54720d4d5b0a02c |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.