Triple
T21353793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitche canton |
E526557
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sturzelbronn |
—
|
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: Sturzelbronn | Statement: [Bitche canton, contains, Sturzelbronn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sturzelbronn Context triple: [Bitche canton, contains, Sturzelbronn]
-
A.
Sturzelbronn
chosen
Sturzelbronn is a small commune in northeastern France, situated in the Moselle department within the forested and rural region of the Pays de Bitche.
-
B.
Moosbronn
Moosbronn is a small district and spa village of Gaggenau in the northern Black Forest region of Baden-Württemberg, Germany, known for its scenic surroundings and pilgrimage church.
-
C.
Brombach
Brombach is a small village and district within the municipality of Schmitten in the Hochtaunus region of Hesse, Germany.
-
D.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
E.
Holzbronn
Holzbronn is a village and district of the town of Calw in the state of Baden-Württemberg in southwestern 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bac9e1481909121e89f046c77f6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:05 p.m.