Triple
T20096339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinwil |
E496409
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Gossau ZH |
—
|
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: Gossau ZH | Statement: [Hinwil, hasNeighboringMunicipality, Gossau ZH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gossau ZH Context triple: [Hinwil, hasNeighboringMunicipality, Gossau ZH]
-
A.
Gossau ZH
chosen
Gossau ZH is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
B.
Gossau SG
Gossau SG is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its mix of industry, agriculture, and residential areas.
-
C.
Göschenen
Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
-
D.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
E.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666cc02481908780a415b19c05a2 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:25 p.m.