Triple
T304365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haarlemmermeer |
E6265
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vijfhuizen
Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
|
E78033
|
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: Vijfhuizen | Statement: [Haarlemmermeer, contains, Vijfhuizen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijfhuizen Context triple: [Haarlemmermeer, contains, Vijfhuizen]
-
A.
Bullewijk
Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
-
B.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
C.
Badhoevedorp
Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
-
D.
Lijnden
Lijnden is a village in the Dutch province of North Holland, situated near Amsterdam and known for its location within the reclaimed polder landscape.
-
E.
Aarle-Rixtel
Aarle-Rixtel is a village in the Dutch province of North Brabant, known for its historic church and traditional bell-founding industry.
- 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: Vijfhuizen Triple: [Haarlemmermeer, contains, Vijfhuizen]
Generated description
Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vijfhuizen Target entity description: Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
-
A.
Bullewijk
Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
-
B.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
C.
Badhoevedorp
Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
-
D.
Lijnden
Lijnden is a village in the Dutch province of North Holland, situated near Amsterdam and known for its location within the reclaimed polder landscape.
-
E.
Aarle-Rixtel
Aarle-Rixtel is a village in the Dutch province of North Brabant, known for its historic church and traditional bell-founding industry.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea1032e48190864338e030d9dc92 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563c01ccc8190a8b9d3ce78ff8ca5 |
completed | March 2, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69a565835d7c8190b5103f21ad509b40 |
completed | March 2, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5662d775481908700fbd2e6809465 |
completed | March 2, 2026, 10:27 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.