Triple
T19800151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beinwil am See |
E475650
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Seetal |
—
|
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: Seetal | Statement: [Beinwil am See, partOf, Seetal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seetal Context triple: [Beinwil am See, partOf, Seetal]
-
A.
Seetal
chosen
Seetal is a picturesque valley region in central Switzerland known for its rolling landscapes, vineyards, and scenic lakes.
-
B.
Nivala
Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
-
C.
Chaudanne
Chaudanne is a small hamlet (frazione) of the Alpine commune of Rhemes-Notre-Dame in Italy’s Aosta Valley region.
-
D.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
E.
Lohra
Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
- 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.