Triple
T5776930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herwijnen |
E127465
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | West Betuwe |
E434083
|
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: West Betuwe | Statement: [Herwijnen, hasMunicipality, West Betuwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Betuwe Context triple: [Herwijnen, hasMunicipality, 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.
Achterhoek
Achterhoek is a rural region in the eastern Netherlands known for its scenic landscapes, traditional farms, and distinctive local culture and dialect.
-
D.
Kennemerland
Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
-
E.
Drenthe
Drenthe is a rural province in the northeastern Netherlands known for its prehistoric dolmens, heathlands, and forests.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029dfccdc8190bed937f493e42aed |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0cbc4188190b40cf403e43411fa |
completed | March 23, 2026, 3:17 a.m. |
Created at: March 22, 2026, 3:50 p.m.