Triple
T21293210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarburg |
E524848
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Boningen |
—
|
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: Boningen | Statement: [Aarburg, neighboringMunicipality, Boningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boningen Context triple: [Aarburg, neighboringMunicipality, Boningen]
-
A.
Boningen
chosen
Boningen is a small municipality in the canton of Solothurn in Switzerland.
-
B.
Burdaard
Burdaard is a small village in the Dutch province of Friesland, known for its traditional windmill and location along the Dokkumer Ee canal.
-
C.
Langerei
Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
-
D.
Banog
Banog is a location that serves as one terminus of the Great Arc of the Meridian.
-
E.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73856ba988190a8359efecea362cc |
completed | April 21, 2026, 8:41 a.m. |
Created at: April 16, 2026, 4:04 p.m.