Triple
T21902841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopik |
E540853
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Benschop |
—
|
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: Benschop | Statement: [Lopik, containsSettlement, Benschop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benschop Context triple: [Lopik, containsSettlement, Benschop]
-
A.
Benschop
chosen
Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
-
B.
Berghuizen
Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
-
C.
Kolderbos
Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
-
D.
Boddeke
Boddeke is a Dutch surname most notably associated with multimedia and theater director Saskia Boddeke.
-
E.
Boschoord
Boschoord is a small village in the Dutch province of Drenthe, known for its rural setting and surrounding natural landscapes.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d3c23081908c30c3a617002389 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:24 p.m.