Triple
T4670173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudbrandsdalslågen |
E102941
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Tretten |
E437284
|
NE FINISHED |
How this triple was built (2 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: Tretten | Statement: [Gudbrandsdalslågen, passesThrough, Tretten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tretten Context triple: [Gudbrandsdalslågen, passesThrough, Tretten]
-
A.
Tretten
chosen
Tretten is a village in Innlandet county, Norway, known as the main settlement in the Øyer municipality along the Gudbrandsdalslågen river.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Trinntorp
Trinntorp is a locality within Tyresö Municipality in Sweden, known for its coastal setting in the Stockholm archipelago.
-
D.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
E.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd634ef5608190925663e988e3585b |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0390c238819089fb54648dfe1e64 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.