Triple
T16507880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiental |
E400977
|
entity |
| Predicate | hasAccessRoad |
P9041
|
FINISHED |
| Object | Griesalpstrasse |
—
|
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: Griesalpstrasse | Statement: [Kiental, hasAccessRoad, Griesalpstrasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Griesalpstrasse Context triple: [Kiental, hasAccessRoad, Griesalpstrasse]
-
A.
Mühlenstrasse
Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
-
B.
Niederdorfstrasse
Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
-
C.
Kandertalstrasse
chosen
Kandertalstrasse is a main road in the Bernese Oberland region of Switzerland that connects the village of Reichenbach im Kandertal with other settlements along the Kander Valley.
-
D.
Hirzelstrasse
Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
-
E.
Schweizer Straße
Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e536e5c8190bef31ab979d2880a |
completed | April 18, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.