Triple
T17645304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivierenland |
E429339
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | West Betuwe |
—
|
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: West Betuwe | Statement: [Rivierenland, contains, West Betuwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Betuwe Context triple: [Rivierenland, contains, West Betuwe]
-
A.
West Betuwe
chosen
West Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, historic villages, and location along major rivers in the central Netherlands.
-
B.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
-
C.
Oosterstreek
Oosterstreek is a small village in the municipality of Weststellingwerf in the Dutch province of Friesland.
-
D.
Achterhoek
Achterhoek is a rural region in the eastern Netherlands known for its scenic landscapes, traditional farms, and distinctive local culture and dialect.
-
E.
Rhine–Waal region
The Rhine–Waal region is a cross-border area along the Rhine and Waal rivers, spanning parts of the eastern Netherlands and western Germany and known for its economic, cultural, and logistical integration.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e382ba88190af19d0e3b8c8cadd |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:04 a.m.