Triple
T22319044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasseramt District |
E551730
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Luterbach |
—
|
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: Luterbach | Statement: [Wasseramt District, containsAdministrativeTerritorialEntity, Luterbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luterbach Context triple: [Wasseramt District, containsAdministrativeTerritorialEntity, Luterbach]
-
A.
Luterbach
chosen
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
B.
Lutterbach
Lutterbach is a commune in the Haut-Rhin department of northeastern France, situated near the city of Mulhouse in the Grand Est region.
-
C.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Wahnbach
Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
-
E.
Vorbach
Vorbach is a small river in Germany that serves as a tributary of the Tauber.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15762fac08190a6a514baffbbbca1 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.