Triple
T21364009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land van Heusden |
E526859
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object | Langstraat en Bommelerwaard area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Langstraat en Bommelerwaard area | Statement: [Land van Heusden, hasCulturalRegion, Langstraat en Bommelerwaard area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langstraat en Bommelerwaard area Context triple: [Land van Heusden, hasCulturalRegion, Langstraat en Bommelerwaard area]
-
A.
Twijnstraat area
The Twijnstraat area is a historic and lively neighborhood in Utrecht, Netherlands, known for its charming streets, local shops, and proximity to the Oudegracht canal.
-
B.
Bezuidenhoutseweg area
The Bezuidenhoutseweg area is a central district in The Hague known for its government institutions, cultural landmarks, and archival facilities.
-
C.
Hooglandse Kerkgracht area
The Hooglandse Kerkgracht area is a historic quarter in the Dutch city of Leiden, characterized by its canalside street, traditional architecture, and proximity to the medieval Hooglandse Kerk church.
-
D.
Domplein area
The Domplein area is the historic central square of Utrecht, Netherlands, known for its prominent medieval churches, civic buildings, and archaeological remains.
-
E.
Kaag en Braassem area
The Kaag en Braassem area is a municipality in South Holland, Netherlands, known for its lakes, waterways, and water sports tourism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langstraat en Bommelerwaard area Target entity description: The Langstraat en Bommelerwaard area is a culturally distinct region in the southern Netherlands known for its historical river landscapes, traditional villages, and long-standing agricultural and trade activities.
-
A.
Twijnstraat area
The Twijnstraat area is a historic and lively neighborhood in Utrecht, Netherlands, known for its charming streets, local shops, and proximity to the Oudegracht canal.
-
B.
Bezuidenhoutseweg area
The Bezuidenhoutseweg area is a central district in The Hague known for its government institutions, cultural landmarks, and archival facilities.
-
C.
Hooglandse Kerkgracht area
The Hooglandse Kerkgracht area is a historic quarter in the Dutch city of Leiden, characterized by its canalside street, traditional architecture, and proximity to the medieval Hooglandse Kerk church.
-
D.
Domplein area
The Domplein area is the historic central square of Utrecht, Netherlands, known for its prominent medieval churches, civic buildings, and archaeological remains.
-
E.
Kaag en Braassem area
The Kaag en Braassem area is a municipality in South Holland, Netherlands, known for its lakes, waterways, and water sports tourism.
- F. None of above. chosen
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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06d6dcc8190b438d3c2e620578c |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.