Triple
T15021206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian State Railways |
E378087
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Vygruppen |
E508953
|
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: Vygruppen | Statement: [Norwegian State Railways, successor, Vygruppen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vygruppen Context triple: [Norwegian State Railways, successor, Vygruppen]
-
A.
Vygruppen
chosen
Vygruppen is a Norwegian state-owned transport group that operates rail and bus services domestically and in parts of Scandinavia.
-
B.
Guruh
Guruh is an Indonesian musician, composer, and politician, best known as the son of Indonesia’s first president Sukarno and for his influential contributions to Indonesian pop and traditional music.
-
C.
Grawp
Grawp is a giant and the half-brother of Rubeus Hagrid who appears in the Harry Potter series.
-
D.
Gruppen
Gruppen is a groundbreaking orchestral composition by Karlheinz Stockhausen, renowned for its complex spatialization of three separate orchestras and its innovative use of serial techniques.
-
E.
Parâng group
The Parâng group is a prominent mountain massif in Romania known for its high peaks, glacial lakes, and popular hiking and skiing areas.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded765462c819097f331c9b39c80e3 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd2c96c8190a0368678584aaa16 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:56 a.m.