Triple
T12215269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toggenburg valley |
E291065
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Lichtensteig |
E767210
|
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: Lichtensteig | Statement: [Toggenburg valley, hasSettlement, Lichtensteig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lichtensteig Context triple: [Toggenburg valley, hasSettlement, Lichtensteig]
-
A.
Lichtensteig
chosen
Lichtensteig is a small historic town in the canton of St. Gallen in northeastern Switzerland, known for its well-preserved old town and picturesque setting in the Toggenburg region.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
D.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
-
E.
Untereggen
Untereggen is a small Swiss municipality in the canton of St. Gallen, known for its rural character and location in the country’s northeastern region.
- 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_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:51 p.m.