Triple
T1153968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drenthe |
E23739
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Assen |
E132426
|
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: Assen | Statement: [Drenthe, hasMunicipality, Assen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assen Context triple: [Drenthe, hasMunicipality, Assen]
-
A.
Assen
chosen
Assen is a city in the northeastern Netherlands best known as the capital of the province of Drenthe and for hosting the annual TT Circuit motorcycle races.
-
B.
Zandvoort
Zandvoort is a Dutch coastal town on the North Sea known for its sandy beaches and the nearby Circuit Zandvoort motor racing track.
-
C.
Arnhem
Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
-
D.
Eindhoven
Eindhoven is a major city in the southern Netherlands known for its industrial and technological significance, particularly as a hub for electronics and design.
-
E.
Zundert, Netherlands
Zundert, Netherlands is a small Dutch town in North Brabant best known as the birthplace of painter Vincent van Gogh.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667a61248190b71033daadef58e3 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:44 p.m.