Triple
T10508740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rijnsaterwoude |
E247854
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Groene Hart |
E534416
|
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: Groene Hart | Statement: [Rijnsaterwoude, locatedInRegion, Groene Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groene Hart Context triple: [Rijnsaterwoude, locatedInRegion, Groene Hart]
-
A.
Groene Hart
chosen
Groene Hart is a largely rural, green area in the western Netherlands, situated between major cities like Amsterdam, Rotterdam, The Hague, and Utrecht, known for its open landscapes, peat meadows, and nature conservation.
-
B.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
-
C.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
D.
Bloemendaal
Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
-
E.
Hulst
Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b287ac8190805a2375bd16b7ae |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6b97888190923ce7a6e59ff752 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:26 p.m.