Triple
T7629244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouder-Amstel |
E172716
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | De Ronde Venen |
E310770
|
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: De Ronde Venen | Statement: [Ouder-Amstel, borderedBy, De Ronde Venen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Ronde Venen Context triple: [Ouder-Amstel, borderedBy, De Ronde Venen]
-
A.
De Ronde Venen
chosen
De Ronde Venen is a municipality in the Dutch province of Utrecht, known for its lakes, polders, and rural landscapes near the Randstad urban area.
-
B.
Land van Rijen
Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
-
C.
Zesgehuchten
Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
-
D.
Het Brandende Veen
Het Brandende Veen is a notable work by Dutch cartographer and writer Arent Roggeveen, reflecting his engagement with 17th-century geographical and scientific interests.
-
E.
Herwijnen
Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa84adb08190885138fc9b908ebf |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870af222481909e341eebb78664d6 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.