Triple
T5744420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altmühl |
E126692
|
entity |
| Predicate | valleyKnownAs |
P14444
|
FINISHED |
| Object | Altmühltal |
E126692
|
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: Altmühltal | Statement: [Altmühl, valleyKnownAs, Altmühltal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altmühltal Context triple: [Altmühl, valleyKnownAs, Altmühltal]
-
A.
Altmühl
chosen
The Altmühl is a river in Bavaria, Germany, known for its slow meandering course through the Franconian countryside and its scenic valleys popular with hikers and cyclists.
-
B.
Siegtal
Siegtal is the valley region through which the river Sieg flows in western Germany, known for its scenic landscapes and small towns.
-
C.
Odenwald
Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
-
D.
Lahn
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.
Wupper basin
The Wupper basin is a river catchment area in North Rhine-Westphalia, Germany, drained by the Wupper River and encompassing several towns and cities in the Bergisches Land region.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025883b608190b21523da2afde218 |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a16436588190943a0b81ea9429d9 |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:48 p.m.