Triple
T16885882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urs Bühler |
E421538
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Willisau |
E1131113
|
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: Willisau | Statement: [Urs Bühler, birthPlace, Willisau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willisau Context triple: [Urs Bühler, birthPlace, Willisau]
-
A.
Willisau
chosen
Willisau is a historic small town in central Switzerland known for its well-preserved medieval old town and traditional cultural events.
-
B.
Thurgau
Thurgau is a canton in northeastern Switzerland known for its agriculture, particularly apple orchards and vineyards, and its location along Lake Constance.
-
C.
Schwyz
Schwyz is a historic canton in central Switzerland, known as one of the founding members that gave the Swiss Confederation its name.
-
D.
Sigriswil
Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
-
E.
Sankt Vith canton
Sankt Vith canton is an administrative subdivision in southeastern Belgium that forms part of the country’s German-speaking region and includes the town of Sankt Vith and surrounding municipalities.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a61c608190909a462e9e77220b |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.