Triple
T18193023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dübendorf |
E435587
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Wangen-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: Wangen-Brüttisellen | Statement: [Dübendorf, hasNeighbour, Wangen-Brüttisellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangen-Brüttisellen Context triple: [Dübendorf, hasNeighbour, Wangen-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.
Wüllen
Wüllen is a district of the town of Ahaus in North Rhine-Westphalia, Germany, known for its rural character within the Münsterland region.
-
C.
Wiesenbronn
Wiesenbronn is a small municipality in the Franconian region of northern Bavaria, Germany, known for its winegrowing tradition and rural character.
-
D.
Wallenbrück
Wallenbrück is a district or locality within the town of Spenge in North Rhine-Westphalia, Germany.
-
E.
Waldbrunn
Waldbrunn is a municipality in the Odenwald region of Baden-Württemberg, Germany, known for its proximity to the Katzenbuckel, the highest peak in the Odenwald.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d12b688190842375dcc5d5537c |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0398090dc0819082d4bd4df858f847 |
completed | May 12, 2026, 9:13 p.m. |
Created at: April 10, 2026, 10:31 a.m.