Triple
T4956079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm public transport network |
E111283
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SL
SL is the public transport authority and brand responsible for operating and coordinating buses, metros, commuter trains, and other transit services in the Stockholm region of Sweden.
|
E103978
|
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: SL | Statement: [Stockholm public transport network, shortName, SL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL Context triple: [Stockholm public transport network, shortName, SL]
-
A.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
-
B.
SL
SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
-
C.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
D.
SL
SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
-
E.
SL
SL is a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
- 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: SL Triple: [Stockholm public transport network, shortName, SL]
Generated description
SL is the public transport authority and brand responsible for operating and coordinating buses, metros, commuter trains, and other transit services in the Stockholm region of Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SL Target entity description: SL is the public transport authority and brand responsible for operating and coordinating buses, metros, commuter trains, and other transit services in the Stockholm region of Sweden.
-
A.
SL
chosen
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
B.
SL
SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
-
C.
SL
SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
-
D.
SL
SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
-
E.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
- F. None of above.
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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71babb44819085b4cd4864433e79 |
completed | March 20, 2026, 4:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81de17748190a26abda7d3703b8e |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be8386d2fc8190a450b42dd5ac6963 |
completed | March 21, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be841d148881908aa53953bd2eb024 |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:32 p.m.