Triple
T4392952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern Airport |
E99408
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Belp |
E399788
|
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: Belp | Statement: [Bern Airport, locatedNear, Belp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belp Context triple: [Bern Airport, locatedNear, Belp]
-
A.
Belp
chosen
Belp is a municipality in the canton of Bern in Switzerland, situated near the city of Bern and known for hosting Bern Airport.
-
B.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
C.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
D.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
E.
Caslano
Caslano is a picturesque Swiss village in the canton of Ticino, known for its lakeside setting on Lake Lugano and its blend of Italian-Swiss culture.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a8862481909dc67abf42be6928 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5ec77d081909b07ebd004be136f |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:19 p.m.