Triple
T19507204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mook |
E488053
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Maas |
—
|
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: Maas | Statement: [Mook, locatedOnRiver, Maas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maas Context triple: [Mook, locatedOnRiver, Maas]
-
A.
Maas
chosen
The Maas, also known as the Meuse, is a major European river flowing through France, Belgium, and the Netherlands before emptying into the North Sea.
-
B.
Maas River
The Maas River is a major European waterway flowing through France, Belgium, and the Netherlands, known for its historical role in trade and its extensive delta in the Low Countries.
-
C.
Lange river
The Lange river is a small watercourse in eastern France that flows through the town of Oyonnax in the Ain department.
-
D.
Vis River
The Vis River is a scenic watercourse in southern France known for its clear waters, gorges, and karst landscapes in the Cévennes region.
-
E.
Om River
The Om River is a river in southwestern Siberia, Russia, that flows through the Omsk region before joining the Irtysh River.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.