Triple
T3877737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nederrijn |
E92543
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Rhenen |
E323464
|
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: Rhenen | Statement: [Nederrijn, flowsThrough, Rhenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhenen Context triple: [Nederrijn, flowsThrough, Rhenen]
-
A.
Rhenen
chosen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
-
B.
Rheinberg
Rheinberg is a historic town in western Germany, situated on the Lower Rhine and known for its medieval architecture and role in various European military conflicts.
-
C.
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.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
- 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_69b51c87214881908e03f5c770c58713 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.