Triple
T16460176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolligen |
E399785
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Ittigen |
E399783
|
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: Ittigen | Statement: [Bolligen, hasNeighboringMunicipality, Ittigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ittigen Context triple: [Bolligen, hasNeighboringMunicipality, Ittigen]
-
A.
Ittigen
chosen
Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
-
B.
Ingessana
The Ingessana are an indigenous ethnic group of the southeastern Sudanese highlands, known for their distinct language, agro-pastoral lifestyle, and history of resistance to external domination.
-
C.
Itter
The Itter is a river in southwestern Germany that flows through the Odenwald region and serves as a tributary of the Neckar.
-
D.
Itzgrund
Itzgrund is a small municipality in the Bavarian region of Germany, known for its rural character and location in the valley of the Itz River.
-
E.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
- 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_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.