Triple
T13544013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhenen |
E323464
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Renswoude |
E416817
|
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: Renswoude | Statement: [Rhenen, borderedBy, Renswoude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renswoude Context triple: [Rhenen, borderedBy, Renswoude]
-
A.
Renswoude
chosen
Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
-
B.
Rijnsaterwoude
Rijnsaterwoude is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders of the Kaag en Braassem area.
-
C.
Zandkreek
Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
-
D.
Oostzanerveld
Oostzanerveld is a Dutch peat meadow and wetland nature reserve known for its open landscapes, waterways, and rich birdlife near Landsmeer in North Holland.
-
E.
Roderwolde
Roderwolde is a small rural village in the Dutch province of Drenthe, known for its historic church and traditional countryside landscape.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a838581c819092a195f60673b743 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:45 p.m.