Triple
T13402897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brugg District |
E319876
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Schinznach-Bad |
E924166
|
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: Schinznach-Bad | Statement: [Brugg District, hasMunicipality, Schinznach-Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schinznach-Bad Context triple: [Brugg District, hasMunicipality, Schinznach-Bad]
-
A.
Schinznach-Bad
chosen
Schinznach-Bad is a small Swiss spa municipality in the canton of Aargau, known for its thermal baths and scenic location along the Aare River.
-
B.
Disentis
Disentis is a Swiss Alpine village in the canton of Graubünden known for its Benedictine monastery and access to extensive skiing and mountain sports.
-
C.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Beinwil am See
Beinwil am See is a Swiss lakeside municipality in the canton of Aargau, known for its scenic location on Lake Hallwil and its recreational and tourism activities.
-
E.
Selzach
Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4982e0819087a9fcb2fa88541f |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ad2c4dc819083d23448d21bb0f3 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:34 p.m.