Triple
T17831345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worb |
E445262
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Walkringen |
—
|
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: Walkringen | Statement: [Worb, hasNeighboringMunicipality, Walkringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walkringen Context triple: [Worb, hasNeighboringMunicipality, Walkringen]
-
A.
Walkringen
chosen
Walkringen is a rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss village character.
-
B.
Rinklingen
Rinklingen is a district or locality within the town of Bretten in the state of Baden-Württemberg, Germany.
-
C.
Simmringen
Simmringen is a small village that forms one of the local subdivisions of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
-
D.
Harksheide
Harksheide was a former municipality in Schleswig-Holstein, Germany, that later became part of the city of Norderstedt.
-
E.
Greifelt
Greifelt is a German surname most notably associated with Ulrich Greifelt, a high-ranking official in Nazi Germany.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d248ecc8190b3f0d001b539d960 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.