Triple
T23543972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gäu District |
E577835
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Wolfwil |
—
|
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: Wolfwil | Statement: [Gäu District, containsMunicipality, Wolfwil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfwil Context triple: [Gäu District, containsMunicipality, Wolfwil]
-
A.
Wolfwil
chosen
Wolfwil is a small Swiss municipality in the canton of Solothurn, known for its rural character and location in the Gäu region.
-
B.
Wilderswil
Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
-
C.
Wattwil
Wattwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland.
-
D.
Wolfisberg
Wolfisberg is a small Swiss municipality in the canton of Bern, known for its rural setting in the Oberaargau region.
-
E.
Wilflingen
Wilflingen is a small village in southern Germany best known as the longtime home of writer Ernst Jünger.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1dbe188190bc4afe7bfa7cda0f |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:11 p.m.