Triple
T5833975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derendingen |
E129420
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Biberist |
E120368
|
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: Biberist | Statement: [Derendingen, hasNeighboringMunicipality, Biberist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biberist Context triple: [Derendingen, hasNeighboringMunicipality, Biberist]
-
A.
Biberist
chosen
Biberist is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the cantonal capital.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Bube
Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
-
D.
Bibirevo
Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
-
E.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346e6e9c8190a245e5d10595a68f |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0ef1c988190b452158b560cf39f |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.