Triple
T1138623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro |
E23196
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
|
E144503
|
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: Sognsvann | Statement: [Oslo Metro, terminus, Sognsvann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sognsvann Context triple: [Oslo Metro, terminus, Sognsvann]
-
A.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
B.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
C.
Namdalen
Namdalen is a traditional district and valley region in central Norway, known for its rivers, forests, and coastal landscapes within the county of Trøndelag.
-
D.
Mjøsa Lake
Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
-
E.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
- 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: Sognsvann Triple: [Oslo Metro, terminus, Sognsvann]
Generated description
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sognsvann Target entity description: Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
-
A.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
B.
Snogebæk
Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
-
C.
Namdalen
Namdalen is a traditional district and valley region in central Norway, known for its rivers, forests, and coastal landscapes within the county of Trøndelag.
-
D.
Mjøsa Lake
Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
-
E.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc25dda481909a26d726fdbdbb50 |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99730c408190a705ca67a6724778 |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a13e9548190ae1fbfeba3326cd5 |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a96d4f081908e608a3f247bbfb2 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:44 p.m.