Triple
T20826208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kippenheim |
E512705
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Ringsheim |
—
|
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: Ringsheim | Statement: [Kippenheim, hasNeighbouringMunicipality, Ringsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringsheim Context triple: [Kippenheim, hasNeighbouringMunicipality, Ringsheim]
-
A.
Ringsheim
chosen
Ringsheim is a small municipality in the Ortenau district of Baden-Württemberg, Germany, known for its proximity to the Europa-Park theme park and its location in the Upper Rhine region.
-
B.
Ringelheim
Ringelheim is a historic locality in present-day Germany, known as the birthplace of the early medieval noblewoman and later saint Matilda of Ringelheim.
-
C.
Rödelheim
Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
-
D.
Kottenheim
Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
-
E.
Schaafheim
Schaafheim is a municipality in the state of Hesse in central 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fd8480819099930af691d97477 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.