Triple
T7583983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofoten Line |
E179560
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Bane NOR |
E119733
|
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: Bane NOR | Statement: [Ofoten Line, owner, Bane NOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bane NOR Context triple: [Ofoten Line, owner, Bane NOR]
-
A.
Bane NOR
chosen
Bane NOR is the Norwegian state-owned company responsible for owning, operating, and developing the national railway infrastructure.
-
B.
Banes
Banes is a coastal municipality in eastern Cuba’s Holguín Province, historically known for its sugar industry and archaeological sites.
-
C.
the Bane
The Bane are a malevolent alien species from the Doctor Who universe, best known as the primary antagonists in the spin-off series "The Sarah Jane Adventures."
-
D.
Brander
Brander is a minor character in Hector Berlioz’s dramatic legend "La damnation de Faust," known as one of Faust’s drinking companions in the tavern scenes.
-
E.
Batta
Batta is an ethnic group indigenous to northeastern Nigeria, particularly associated with Adamawa State.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f993cd0c8190864f801074625a32 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861812e08819097fd14fe2b8fee13 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.