Triple
T16532887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangen-Brüttisellen |
E401611
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Brüttisellen |
E401611
|
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: Brüttisellen | Statement: [Wangen-Brüttisellen, hasPart, Brüttisellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brüttisellen Context triple: [Wangen-Brüttisellen, hasPart, Brüttisellen]
-
A.
Wangen-Brüttisellen
chosen
Wangen-Brüttisellen is a municipality in the canton of Zurich, Switzerland, known for its residential character and proximity to major transport routes and urban centers.
-
B.
Breselenz
Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
-
C.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
D.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Hellefeld
Hellefeld is a village and district within the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ac013c81909ce7055de4f12e58 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:15 a.m.