Triple
T15634780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegauen near Bonn |
E375912
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Sieg valley |
E1168071
|
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: Sieg valley | Statement: [Siegauen near Bonn, partOf, Sieg valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sieg valley Context triple: [Siegauen near Bonn, partOf, Sieg valley]
-
A.
Sieg Valley
chosen
Sieg Valley is a scenic river valley in western Germany known for its natural landscapes, small towns, and the railway route that runs through it.
-
B.
Steigerwald
Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
-
C.
Isar valley
The Isar valley is a scenic river valley in Bavaria, Germany, known for its picturesque landscapes, forests, and traditional towns along the Isar River.
-
D.
Hessian Hinterland
The Hessian Hinterland is a historic cultural region in the German state of Hesse, characterized by its rural landscapes, traditional villages, and long-standing local customs.
-
E.
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7568028481908caa1e49541bbcf1 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:14 a.m.