Triple
T17493322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hintertaunus |
E425982
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Lahn valley |
—
|
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: Lahn valley | Statement: [Hintertaunus, borders, Lahn valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahn valley Context triple: [Hintertaunus, borders, Lahn valley]
-
A.
Saale River valley
The Saale River valley is a scenic river landscape in central Germany characterized by winding waterways, steep slopes, and a mix of forests, vineyards, and historic towns.
-
B.
Wuhle Valley
Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
-
C.
Altmühl valley
The Altmühl valley is a scenic river valley in Bavaria, Germany, known for its limestone cliffs, meandering Altmühl River, and popular hiking and cycling routes through the Franconian Jura landscape.
-
D.
Lahn
chosen
The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
-
E.
Ach Valley
Ach Valley is a scenic valley in the Swabian Jura of southern Germany, known for its karst landscapes, caves, and archaeological significance.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d6bd548190b4c6fae27c2a9ae8 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.