Triple
T14760594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Burgäschi |
E346848
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Oberönz |
E584851
|
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: Oberönz | Statement: [Lake Burgäschi, hasNearbySettlement, Oberönz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberönz Context triple: [Lake Burgäschi, hasNearbySettlement, Oberönz]
-
A.
Oberägeri
Oberägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
B.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
C.
Mürz
Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
-
D.
Oberbuchsiten
chosen
Oberbuchsiten is a municipality in the canton of Solothurn in Switzerland, situated in the Gäu district at the southern foot of the Jura Mountains.
-
E.
Leißling
Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24afff788190ab4925ead7ce90d2 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.