Triple
T3351319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lansingerland |
E70498
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bleiswijk
Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
|
E691933
|
NE FINISHED |
How this triple was built (4 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: Bleiswijk | Statement: [Lansingerland, hasSettlement, Bleiswijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleiswijk Context triple: [Lansingerland, hasSettlement, Bleiswijk]
-
A.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
B.
Katwijk
Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
-
C.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
D.
Zaandam
Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
-
E.
Hulst
Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bleiswijk Triple: [Lansingerland, hasSettlement, Bleiswijk]
Generated description
Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bleiswijk Target entity description: Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
-
A.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
B.
Katwijk
Katwijk is a coastal town and municipality in the western Netherlands known for its North Sea beaches and historic fishing heritage.
-
C.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
D.
Zaandam
Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
-
E.
Hulst
Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
- F. None of above. chosen
Provenance (5 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb220721c81909eb4d8d35c923927 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cbcc02fc8190b0f9049dffc22021 |
completed | March 30, 2026, 1:03 a.m. |
| NEDg | Description generation | batch_69c9cc6e846881908d0c874d3d8a2c44 |
completed | March 30, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9cccb08c88190afa09c052c6454af |
completed | March 30, 2026, 1:07 a.m. |
Created at: March 8, 2026, 3:12 p.m.