Triple
T20838195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kappelrodeck |
E513017
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Achern |
E122866
|
NE FINISHED |
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: Achern | Statement: [Kappelrodeck, locatedNear, Achern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achern Context triple: [Kappelrodeck, locatedNear, Achern]
-
A.
Achern
chosen
Achern is a small German town in the state of Baden-Württemberg, located near the Black Forest and close to the French border in the Upper Rhine region.
-
B.
Eschau
Eschau is a small commune in northeastern France located near Strasbourg in the Grand Est region.
-
C.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
-
D.
Bollschweil
Bollschweil is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau in the scenic Breisgau area at the edge of the Black Forest.
-
E.
Rüegsau
Rüegsau is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss village character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32928788190be8ca57923eefd7e |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09505371f88190be5f78af8f2d3103 |
completed | May 17, 2026, 5:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.