Triple
T2296478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Countries |
E51626
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Meuse valley |
E141233
|
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: Meuse valley | Statement: [Low Countries, hasPart, Meuse valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meuse valley Context triple: [Low Countries, hasPart, Meuse valley]
-
A.
Meuse valley
chosen
The Meuse valley is a scenic river valley in Western Europe known for its winding course through France, Belgium, and the Netherlands, featuring dramatic cliffs, historic towns, and industrial heritage.
-
B.
Wassenaar
Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
-
C.
Overijse
Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
-
D.
Ruhr
The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
-
E.
Leven
Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ddf00081909acb47cbd9a5f20e |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f28db6c81909dbe55c704307da6 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.