Triple
T17403668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirchlindach |
E423157
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Fraubrunnen |
—
|
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: Fraubrunnen | Statement: [Kirchlindach, hasNeighboringMunicipality, Fraubrunnen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fraubrunnen Context triple: [Kirchlindach, hasNeighboringMunicipality, Fraubrunnen]
-
A.
Fraubrunnen
chosen
Fraubrunnen is a municipality in the canton of Bern in Switzerland, known for its rural character and location in the Swiss Plateau.
-
B.
Lauferbrunnen
Lauferbrunnen is a historic fountain and local landmark in the town of Gernsbach in Germany’s Black Forest region.
-
C.
Stilfser Bach
Stilfser Bach is a mountain stream in South Tyrol, northern Italy, flowing through the village of Trafoi in the Stelvio Pass area of the Alps.
-
D.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
E.
Ernstbrunn
Ernstbrunn is a market town in Lower Austria known historically as an estate center of the noble House of Kinsky.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.