Triple
T21301716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attiswil |
E525080
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Farnern |
—
|
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: Farnern | Statement: [Attiswil, hasNeighboringMunicipality, Farnern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnern Context triple: [Attiswil, hasNeighboringMunicipality, Farnern]
-
A.
Farnern
chosen
Farnern is a small Swiss village located in the Oberaargau administrative district of the canton of Bern.
-
B.
Ferenberg
Ferenberg is a small locality within the municipality of Bolligen in the canton of Bern, Switzerland.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Nassfeld
Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385cd6308190bf300494833b048f |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.