Triple
T4688850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlanda Central Station |
E103984
|
entity |
| Predicate | railServiceOperator |
P782
|
FINISHED |
| Object |
SJ
SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
|
E462906
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Arlanda Central Station, railServiceOperator, SJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SJ Context triple: [Arlanda Central Station, railServiceOperator, SJ]
-
A.
S.J.
S.J. is the standard post-nominal abbreviation used to designate members of the Catholic religious order known as the Society of Jesus, or the Jesuits.
-
B.
SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
-
C.
SJRY
SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
-
D.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
E.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SJ Triple: [Arlanda Central Station, railServiceOperator, SJ]
Generated description
SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SJ Target entity description: SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
-
A.
S.J.
S.J. is the standard post-nominal abbreviation used to designate members of the Catholic religious order known as the Society of Jesus, or the Jesuits.
-
B.
SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
-
C.
SJRY
SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
-
D.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
E.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
- F. None of above. chosen
Provenance (5 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6399621881909aa8ffb1c27284e9 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ba56f88190bc9f6da051b5052f |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be077d06988190b3b20b48e4017abb |
completed | March 21, 2026, 2:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be084a59e88190b1e0342a529b7b8f |
completed | March 21, 2026, 2:54 a.m. |
Created at: March 20, 2026, 1:16 p.m.