Triple
T21319065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronneby Airport |
E525560
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ronneby city centre |
—
|
NE NERFINISHED |
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: Ronneby city centre | Statement: [Ronneby Airport, near, Ronneby city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronneby city centre Context triple: [Ronneby Airport, near, Ronneby city centre]
-
A.
Ronneby
chosen
Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
-
B.
Mörby centrum
Mörby centrum is a Stockholm metro station serving the northern suburb of Danderyd and providing access to the adjacent shopping center and residential area.
-
C.
Stureby
Stureby is a residential district in southern Stockholm, Sweden, known for its suburban character and local amenities.
-
D.
Vällingby
Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
-
E.
Ljungby
Ljungby is a small Swedish town in southern Småland known for its lakeside surroundings, forestry-based economy, and role as a local commercial and cultural center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ecf12248190bb4172ad7416775e |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:38 p.m.