Triple
T16471195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw |
E400063
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Riehen |
E134855
|
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: Riehen | Statement: [Calw, twinTown, Riehen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riehen Context triple: [Calw, twinTown, Riehen]
-
A.
Riehen
chosen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
B.
Vaterstetten
Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
-
C.
Sulzach
Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
-
D.
Birmensdorf
Birmensdorf is a municipality in the canton of Zurich in Switzerland, located near the city of Zurich and known for its mix of residential areas and surrounding forests and farmland.
-
E.
Ranshofen
Ranshofen is a district of the town of Braunau am Inn in Upper Austria, known historically for its industrial facilities and its location near the German border.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091872e648190b805aa4e41bcbb6d |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:11 a.m.