Triple
T21717053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahnhofstrasse |
E536056
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Rennweg |
—
|
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: Rennweg | Statement: [Bahnhofstrasse, adjacentTo, Rennweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rennweg Context triple: [Bahnhofstrasse, adjacentTo, Rennweg]
-
A.
Rennweg
chosen
Rennweg is a historic street in Zurich, Switzerland, known for its medieval origins and central location in the city’s Old Town.
-
B.
Duenweg
Duenweg is a small city located in Jasper County in southwestern Missouri, United States.
-
C.
Ratsweg
Ratsweg is a street in Frankfurt am Main, Germany, known for running past major local facilities such as the Eissporthalle Frankfurt ice rink.
-
D.
Törlweg
Törlweg is a hiking trail in Austria’s Rax mountain region, known for its alpine scenery and access to popular summit and plateau routes.
-
E.
Malerweg
Malerweg is a famous long-distance hiking trail in Germany that winds through the dramatic rock formations and scenic landscapes of the Elbe Sandstone Mountains (Saxon Switzerland).
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.