Triple
T7851117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Uri |
E182054
|
entity |
| Predicate | hasMunicipalities |
P747
|
FINISHED |
| Object | Flüelen |
E638184
|
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: Flüelen | Statement: [canton of Uri, hasMunicipalities, Flüelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flüelen Context triple: [canton of Uri, hasMunicipalities, Flüelen]
-
A.
Flüelen
chosen
Flüelen is a Swiss lakeside village in the canton of Uri, situated at the southern end of Lake Lucerne and known as a transport hub and gateway to the Gotthard region.
-
B.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
-
C.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
D.
Aarberg
Aarberg is a small historic town in the canton of Bern in Switzerland, known for its medieval center and distinctive wooden bridge over the Aare River.
-
E.
Zugerberg
Zugerberg is a scenic mountain and recreational area in the Swiss canton of Zug, known for its panoramic views over Lake Zug and the surrounding Alps.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0d95748190a202258214dda2ae |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:50 p.m.