Triple
T3877739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nederrijn |
E92543
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Wijk bij Duurstede |
E519716
|
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: Wijk bij Duurstede | Statement: [Nederrijn, flowsThrough, Wijk bij Duurstede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wijk bij Duurstede Context triple: [Nederrijn, flowsThrough, Wijk bij Duurstede]
-
A.
Wijk bij Duurstede
chosen
Wijk bij Duurstede is a historic Dutch town in the province of Utrecht, known for its medieval castle ruins, picturesque old center, and riverside setting.
-
B.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
C.
Waalwijk
Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
-
D.
Steenwijk
Steenwijk is a historic town in the Dutch province of Overijssel, known for its medieval center and role as a regional hub in the north of the province.
-
E.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec72fa7c81909c73b3cf90597e9a |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0276db4e8819090ece339aba3a13b |
completed | March 22, 2026, 5:31 p.m. |
Created at: March 9, 2026, 3:20 p.m.