Triple
T5281359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltsjöbanan |
E119504
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Solsidan station
Solsidan station is a railway stop on Stockholm’s Saltsjöbanan suburban rail line serving the Solsidan residential area in the municipality of Nacka, Sweden.
|
E508328
|
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: Solsidan station | Statement: [Saltsjöbanan, hasStation, Solsidan station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solsidan station Context triple: [Saltsjöbanan, hasStation, Solsidan station]
-
A.
Gagarina station
Gagarina station is a stop on the Volgograd Metrotram system in Volgograd, Russia, named in honor of cosmonaut Yuri Gagarin.
-
B.
Bornova station
Bornova station is a key terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
-
C.
Hamar Station
Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
-
D.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
E.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
- 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: Solsidan station Triple: [Saltsjöbanan, hasStation, Solsidan station]
Generated description
Solsidan station is a railway stop on Stockholm’s Saltsjöbanan suburban rail line serving the Solsidan residential area in the municipality of Nacka, Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solsidan station Target entity description: Solsidan station is a railway stop on Stockholm’s Saltsjöbanan suburban rail line serving the Solsidan residential area in the municipality of Nacka, Sweden.
-
A.
Gagarina station
Gagarina station is a stop on the Volgograd Metrotram system in Volgograd, Russia, named in honor of cosmonaut Yuri Gagarin.
-
B.
Bornova station
Bornova station is a key terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
-
C.
Hamar Station
Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
-
D.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
E.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c5212481909cb3b5f43c0eedc0 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e27b5081908b755a817d4c260a |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf08bf26448190bd3a3f632ea79d85 |
completed | March 21, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf091f09f88190aa382387e6b94662 |
completed | March 21, 2026, 9:09 p.m. |
Created at: March 20, 2026, 1:52 p.m.