Triple
T19800159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beinwil am See |
E475650
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Gelfingen |
—
|
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: Gelfingen | Statement: [Beinwil am See, neighboringMunicipality, Gelfingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelfingen Context triple: [Beinwil am See, neighboringMunicipality, Gelfingen]
-
A.
Gelfingen
chosen
Gelfingen is a municipality in the Swiss canton of Lucerne, known for its scenic setting near Lake Baldegg.
-
B.
Teylingen
Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
-
C.
Geldern
Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
-
D.
Gerolfingen
Gerolfingen is a small municipality in the Ansbach district of Bavaria, Germany, situated near the Hesselberg, the region’s highest mountain.
-
E.
Goeferdinge
Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.