Triple
T18265475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem, Baden-Württemberg |
E437471
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Mittelstenweiler |
—
|
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: Mittelstenweiler | Statement: [Salem, Baden-Württemberg, hasSubdivision, Mittelstenweiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mittelstenweiler Context triple: [Salem, Baden-Württemberg, hasSubdivision, Mittelstenweiler]
-
A.
Mittelstenweiler
chosen
Mittelstenweiler is a former village in southern Germany that now forms part of the municipality of Salem in the state of Baden-Württemberg.
-
B.
Neuweiler
Neuweiler is a small municipality in the Black Forest region of southwestern Germany, known for its rural character and forested landscapes.
-
C.
Wülscheid
Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, Germany.
-
D.
Wollmerschied
Wollmerschied is a small village in the Rheingau region of Hesse, Germany, known as a district of the town of Lorch.
-
E.
Niedernhausen
Niedernhausen is a municipality in the Rheingau-Taunus district of Hesse, Germany, known for its wooded surroundings in the Taunus hills and convenient rail and road links to Wiesbaden and Frankfurt.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.