Triple
T5290786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SJ Norge |
E119734
|
entity |
| Predicate | usesInfrastructureOf |
P6820
|
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: [SJ Norge, usesInfrastructureOf, Bane NOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bane NOR Context triple: [SJ Norge, usesInfrastructureOf, 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.
Batta
Batta is an ethnic group indigenous to northeastern Nigeria, particularly associated with Adamawa State.
-
D.
Bax
Bax is a Dutch-American biophysical chemist renowned for pioneering the use of multidimensional nuclear magnetic resonance (NMR) spectroscopy to study the structure and dynamics of biological macromolecules.
-
E.
Jenefar
Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eac7b88190900142bd1310c0fd |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10dfc2948190b65f5e4c9388a5cb |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:52 p.m.