Triple
T21356959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zell am Harmersbach |
E526657
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Gengenbach |
—
|
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: Gengenbach | Statement: [Zell am Harmersbach, locatedNear, Gengenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gengenbach Context triple: [Zell am Harmersbach, locatedNear, Gengenbach]
-
A.
Gengenbach
chosen
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
-
B.
Ofenbach
Ofenbach is a French DJ and electronic music duo known for their deep house and pop-influenced dance tracks such as "Be Mine" and "Katchi."
-
C.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
D.
Goetzenbruck
Goetzenbruck is a small commune in northeastern France’s Moselle department, historically known for its glassmaking industry and location within the Pays de Bitche region.
-
E.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa1a9b0819083a5a8f34c49d409 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.