Triple
T21368931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Zug |
E526997
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Hünenberg |
—
|
NE NERFINISHED |
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: Hünenberg | Statement: [canton of Zug, hasMunicipality, Hünenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hünenberg Context triple: [canton of Zug, hasMunicipality, Hünenberg]
-
A.
Hünenberg
chosen
Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
-
B.
Heiligenberg
Heiligenberg is a prominent hill overlooking Heidelberg in Germany, known for its historical ruins and cultural sites.
-
C.
Heiligenberg
Heiligenberg is a municipality in the Bodenseekreis district of Baden-Württemberg, Germany, known for its elevated location above Lake Constance and its historic castle.
-
D.
Rorschacherberg
Rorschacherberg is a municipality in the canton of St. Gallen in northeastern Switzerland, situated above Lake Constance with views over the lake and surrounding region.
-
E.
Höchenschwand
Höchenschwand is a small spa and holiday municipality in the southern Black Forest region of Baden-Württemberg, Germany, known for its high elevation and clean air.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.