Triple
T6143855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drentsche Aa National Landscape |
E137026
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Drentsche Aa stream |
E590076
|
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: Drentsche Aa stream | Statement: [Drentsche Aa National Landscape, namedAfter, Drentsche Aa stream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drentsche Aa stream Context triple: [Drentsche Aa National Landscape, namedAfter, Drentsche Aa stream]
-
A.
Drentsche Aa
chosen
Drentsche Aa is a small, meandering river in the Dutch province of Drenthe, renowned for its well-preserved natural landscape and surrounding national park.
-
B.
River Waal
River Waal is a major distributary branch of the Rhine in the Netherlands, serving as an important waterway for transport and trade.
-
C.
river Vecht
The river Vecht is a Dutch waterway in the province of Utrecht, known for its scenic, historic towns and country estates along its banks.
-
D.
Amstel River
The Amstel River is a historic waterway in the Netherlands that flows through and gives its name to the city of Amsterdam.
-
E.
river Eem
The river Eem is a short Dutch river in the province of Utrecht that flows through towns such as Amersfoort and Baarn before emptying into the Eemmeer.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb50cb0819081ac64becf7aaf55 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6caf09b408190b1133afa52668bfe |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:16 p.m.