Triple
T20838145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appenweier |
E513015
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Appenweierer |
—
|
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: Appenweierer | Statement: [Appenweier, hasDemonym, Appenweierer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Appenweierer Context triple: [Appenweier, hasDemonym, Appenweierer]
-
A.
Appenweier
chosen
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
B.
Eifgenbach
Eifgenbach is a small river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Wupper.
-
C.
Oberägeri
Oberägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
D.
Sulzenauferner
Sulzenauferner is a glacier in the Stubai Alps of Tyrol, Austria, known for its high-alpine scenery and popular mountaineering routes.
-
E.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32928788190be8ca57923eefd7e |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.