Triple
T21982601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingewaal |
E542877
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Asperen |
—
|
NE NERFINISHED |
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: Asperen | Statement: [Lingewaal, formedByMergerOf, Asperen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asperen Context triple: [Lingewaal, formedByMergerOf, Asperen]
-
A.
Asperen
chosen
Asperen is a small historic town in the Dutch province of Gelderland, known for its traditional architecture and riverside setting.
-
B.
Ternaard
Ternaard is a small village in the Dutch province of Friesland, known for its rural character and location near the Wadden Sea.
-
C.
Gaasperdam
Gaasperdam is a residential neighborhood in the southeastern part of Amsterdam known for its green spaces and proximity to the Gaasperplas recreational area.
-
D.
Passewaaij
Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
-
E.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270629588190aea32fbe630e4cba |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.