Triple
T21288977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanshorn |
E524736
|
entity |
| Predicate | canton |
P3942
|
FINISHED |
| Object | Thurgau |
—
|
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: Thurgau | Statement: [Romanshorn, canton, Thurgau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thurgau Context triple: [Romanshorn, canton, Thurgau]
-
A.
Thurgau
chosen
Thurgau is a canton in northeastern Switzerland known for its agriculture, particularly apple orchards and vineyards, and its location along Lake Constance.
-
B.
Willisau
Willisau is a historic small town in central Switzerland known for its well-preserved medieval old town and traditional cultural events.
-
C.
Klettgau
Klettgau is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its rural character and viticulture.
-
D.
Glarus
Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
-
E.
Untertürkheim
Untertürkheim is a district of Stuttgart, Germany, best known as a major hub of the Mercedes-Benz automotive industry.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d882408190a2300327cb73b7f6 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.