Triple
T18921260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barger-Compascuum |
E462861
|
entity |
| Predicate | hasMuseum |
P105
|
FINISHED |
| Object | Veenpark |
—
|
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: Veenpark | Statement: [Barger-Compascuum, hasMuseum, Veenpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veenpark Context triple: [Barger-Compascuum, hasMuseum, Veenpark]
-
A.
Veenpark
chosen
Veenpark is an open-air museum and theme park in the Netherlands that recreates historic peat-cutting villages and traditional Drenthe life.
-
B.
Broersepark
Broersepark is a notable public park in the Dutch municipality of Amstelveen, known for its green spaces and recreational areas.
-
C.
Veltwijckpark
Veltwijckpark is a public park in the Ekeren district of Antwerp, Belgium, known for its green spaces, walking paths, and historic surroundings.
-
D.
Sorghvliet park
Sorghvliet park is a historic green park in The Hague, Netherlands, known for its landscaped grounds and proximity to important government residences.
-
E.
Rensenpark
Rensenpark is a public park and cultural space in Emmen, the Netherlands, located on the former site of the city’s zoo and now used for recreation, art, and events.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b3b93c819085032d8251a43ca8 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.