Triple
T2307880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Büllingen |
E51882
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Büllingen (village) |
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: Büllingen (village) | Statement: [Büllingen, administrativeCenter, Büllingen (village)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Büllingen (village) Context triple: [Büllingen, administrativeCenter, Büllingen (village)]
-
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.
Boblingen
Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
-
C.
Nellingen
Nellingen is a small municipality in the Alb-Donau district of the German state of Baden-Württemberg, situated on the Swabian Jura plateau.
-
D.
Wüllen
Wüllen is a district of the town of Ahaus in North Rhine-Westphalia, Germany, known for its rural character within the Münsterland region.
-
E.
Leichlingen
Leichlingen is a small town in North Rhine-Westphalia, Germany, known for its scenic location along the Wupper River and its fruit-growing traditions.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc605cf808190a326e6c78e3f9166 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f379bbc8190b085b82e2e16401e |
completed | March 9, 2026, 8:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.