Triple
T10721171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miescheid |
E252823
|
entity |
| Predicate | localGovernmentLevel |
P1085
|
FINISHED |
| Object | municipality of Büllingen |
E51882
|
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: municipality of Büllingen | Statement: [Miescheid, localGovernmentLevel, municipality of Büllingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: municipality of Büllingen Context triple: [Miescheid, localGovernmentLevel, municipality of Büllingen]
-
A.
Büllingen
chosen
Büllingen is a municipality in eastern Belgium’s German-speaking Community, known for its rural landscape and proximity to the historically significant Elsenborn Ridge.
-
B.
Münsterlingen
Münsterlingen is a municipality in the canton of Thurgau in northeastern Switzerland, situated on the southern shore of Lake Constance.
-
C.
Boblingen
Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
-
D.
municipality of Hohentengen
The municipality of Hohentengen is a local administrative community in the state of Baden-Württemberg in southern Germany.
-
E.
Bissingen
Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d43655081909b071100c96cb4f6 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de847e0ee48190a4c1470fc5296213 |
completed | April 14, 2026, 6:16 p.m. |
Created at: April 8, 2026, 9:13 p.m.