Triple
T21296983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramiswil |
E524949
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Aedermannsdorf |
—
|
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: Aedermannsdorf | Statement: [Ramiswil, hasNeighboringMunicipality, Aedermannsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aedermannsdorf Context triple: [Ramiswil, hasNeighboringMunicipality, Aedermannsdorf]
-
A.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Althüttendorf
Althüttendorf is a small rural municipality in the Barnim district of Brandenburg in northeastern Germany.
-
C.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
D.
Hubersdorf
chosen
Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
-
E.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385968308190bc9fe5c2bd4598e6 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.