Triple
T12215271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toggenburg valley |
E291065
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Wildhaus |
E53874
|
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: Wildhaus | Statement: [Toggenburg valley, hasSettlement, Wildhaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wildhaus Context triple: [Toggenburg valley, hasSettlement, Wildhaus]
-
A.
Wildhaus
chosen
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
B.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
-
C.
Waidhaus
Waidhaus is a municipality in eastern Bavaria, Germany, near the Czech border, known as a key road border crossing and transport hub.
-
D.
Rohdenhaus
Rohdenhaus is a district or locality within the town of Wülfrath in North Rhine-Westphalia, Germany.
-
E.
Torfhaus
Torfhaus is a small settlement and popular tourist base in the Harz Mountains of Germany, known for its hiking trails and views of the Brocken.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c60a7d081908e402c15b7e38596 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:51 p.m.