Triple
T14102160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremgarten, Aargau, Switzerland |
E339409
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Mellingen |
E634676
|
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: Mellingen | Statement: [Bremgarten, Aargau, Switzerland, neighboringMunicipality, Mellingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellingen Context triple: [Bremgarten, Aargau, Switzerland, neighboringMunicipality, Mellingen]
-
A.
Mellingen
chosen
Mellingen is a small Swiss town in the canton of Aargau known for its historic old town and riverside setting along the Reuss.
-
B.
Menzingen
Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
-
C.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Merklingen
Merklingen is a village and district of the town of Weil der Stadt in the German state of Baden-Württemberg.
-
E.
Merklingen
Merklingen is a small town in the Alb-Donau district of the German state of Baden-Württemberg.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b108908190b4b408f21ecb877a |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.