Triple
T16213520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creutzwald |
E393524
|
entity |
| Predicate | neighbouringCommune |
P33892
|
FINISHED |
| Object | Wallerfangen |
E1082527
|
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: Wallerfangen | Statement: [Creutzwald, neighbouringCommune, Wallerfangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallerfangen Context triple: [Creutzwald, neighbouringCommune, Wallerfangen]
-
A.
Wallerfangen
chosen
Wallerfangen is a municipality in the Saarland region of western Germany, near the French border, known for its rural character and proximity to the town of Saarlouis.
-
B.
Falkenstein
Falkenstein is a district of the spa town Königstein im Taunus in Hesse, Germany, known for its scenic location in the Taunus mountains and historic castle ruins.
-
C.
Oberfell
Oberfell is a small municipality in western Germany situated along the Moselle River within the state of Rhineland-Palatinate.
-
D.
Wildenberg
Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
-
E.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f393e08190be93400d754f0a2d |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000794e6c881909c4521e4dd031971 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.