Triple
T15074255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidingöbanan line 21 |
E379957
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
SL
SL is the public transport authority for the Stockholm region, responsible for operating and coordinating local buses, trains, trams, and other transit services.
|
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: [Lidingöbanan line 21, operator, SL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL Context triple: [Lidingöbanan line 21, operator, 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 two-letter ISO country code for Sierra Leone, a West African nation on the Atlantic coast.
-
C.
SL
SL is the common abbreviation used for the Salt Lake Bees, a Minor League Baseball team based in Salt Lake City, Utah.
-
D.
SL
SL is the post-nominal abbreviation used in Finland to denote a person who has been awarded a decoration of the Order of the Lion of Finland.
-
E.
SL
SL is the commonly used abbreviation for the Swiss League, a professional ice hockey league in Switzerland.
- 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: [Lidingöbanan line 21, operator, SL]
Generated description
SL is the public transport authority for the Stockholm region, responsible for operating and coordinating local buses, trains, trams, and other transit services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SL Target entity description: SL is the public transport authority for the Stockholm region, responsible for operating and coordinating local buses, trains, trams, and other transit services.
-
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 the vehicle registration code used for the Flachgau (Salzburg-Umgebung) district in the Austrian state of Salzburg.
-
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 German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfdc8f64819083c7e3510e671b9a |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec11a80a48190809775d712eb6399 |
completed | May 9, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec1822c28819082f473f573669099 |
completed | May 9, 2026, 5:09 a.m. |
Created at: April 10, 2026, 3:02 a.m.