Triple
T15029985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm Central Station |
E378317
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | SJ AB |
E462906
|
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: SJ AB | Statement: [Stockholm Central Station, operatedBy, SJ AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SJ AB Context triple: [Stockholm Central Station, operatedBy, SJ AB]
-
A.
SJ AB group
SJ AB group is a Swedish state-owned railway company that operates passenger train services domestically and in neighboring countries through subsidiaries and brands such as SJ Norge.
-
B.
SJ
chosen
SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
-
C.
SJ
SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
-
D.
SJ
SJ is the IATA airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
-
E.
SJ
SJ is the vehicle registration code used on license plates for vehicles registered in Sălaj County, Romania.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.