Triple
T16460182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolligen |
E399785
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Zollikofen |
E401057
|
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: Zollikofen | Statement: [Bolligen, hasNeighboringMunicipality, Zollikofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zollikofen Context triple: [Bolligen, hasNeighboringMunicipality, Zollikofen]
-
A.
Zollikofen
chosen
Zollikofen is a municipality in the canton of Bern in Switzerland, functioning as a suburban community within the greater Bern metropolitan region.
-
B.
Seckbach
Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
-
C.
Ichenhausen
Ichenhausen is a small town in the Bavarian region of Swabia in southern Germany, known for its historic architecture and former Jewish community.
-
D.
Kohnstein
Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
-
E.
Habach
Habach is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural character and Alpine foothill setting.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005817fa088190a0eb85016fe5afc4 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.