Triple
T2650048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildhaus |
E53874
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Alt St. Johann |
E287028
|
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: Alt St. Johann | Statement: [Wildhaus, neighboringMunicipality, Alt St. Johann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alt St. Johann Context triple: [Wildhaus, neighboringMunicipality, Alt St. Johann]
-
A.
Alt St. Johann
chosen
Alt St. Johann was a former Swiss municipality in the canton of St. Gallen, known as a mountain village in the Toggenburg region before merging into the municipality of Wildhaus-Alt St. Johann.
-
B.
Paradestraße
Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
-
C.
Breite Straße
Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
-
D.
Otisstraße
Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
-
E.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa052c91c8190abfd49dbc62a4448 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.