Triple
T8371204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erbach (Donau) |
E197457
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Ringingen |
E487696
|
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: Ringingen | Statement: [Erbach (Donau), hasSubdivision, Ringingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringingen Context triple: [Erbach (Donau), hasSubdivision, Ringingen]
-
A.
Walkringen
Walkringen is a rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss village character.
-
B.
Rönninge
Rönninge is a locality in Stockholm County, Sweden, serving as the central town of Salem Municipality.
-
C.
Oftringen
Oftringen is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and commercial center.
-
D.
Sipplingen
chosen
Sipplingen is a small lakeside municipality in southern Germany situated on the northern shore of Lake Constance in the state of Baden-Württemberg.
-
E.
Rælingen
Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a509dc81909e0ea4c66b21d84f |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc79752b48190933ea644a59f2305 |
completed | April 2, 2026, 1:34 a.m. |
Created at: March 30, 2026, 6:01 p.m.