Triple
T1811131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuw-Vennep |
E40333
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object |
Bollenstreek
Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
|
E245550
|
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: Bollenstreek | Statement: [Nieuw-Vennep, locatedInRegion, Bollenstreek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bollenstreek Context triple: [Nieuw-Vennep, locatedInRegion, Bollenstreek]
-
A.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
-
D.
Overijse
Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
-
E.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
- 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: Bollenstreek Triple: [Nieuw-Vennep, locatedInRegion, Bollenstreek]
Generated description
Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bollenstreek Target entity description: Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
-
A.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
B.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
C.
Betuwe
Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
-
D.
Overijse
Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
-
E.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c64bc08190b993216890752b46 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae651f8f38819089fb40e7bb3dc2cb |
completed | March 9, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69ae6615cf488190aa5bdf5431c8628a |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae668ef8bc819085ed1c83f447d396 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:32 p.m.