Triple
T15889577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihltal |
E385279
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Horgen |
E350844
|
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: Horgen | Statement: [Sihltal, hasMunicipality, Horgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horgen Context triple: [Sihltal, hasMunicipality, Horgen]
-
A.
Horgen
chosen
Horgen is a municipality in the canton of Zurich, Switzerland, situated on the western shore of Lake Zurich and known as a residential and commuter town near the city of Zurich.
-
B.
Kriens
Kriens is a Swiss town and municipality located near Lucerne, known as a residential and industrial suburb at the foot of Mount Pilatus.
-
C.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
-
D.
Uster
Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
-
E.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561d5c28819094c3541d917a4433 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe6cd5a881908716f1dcf7d77004 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.