Triple
T18162850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almere |
E434809
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Almere Buiten
Almere Buiten is a railway station serving the Almere Buiten district in the city of Almere in the Netherlands.
|
E1312371
|
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: Almere Buiten | Statement: [Almere, hasRailwayStation, Almere Buiten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almere Buiten Context triple: [Almere, hasRailwayStation, Almere Buiten]
-
A.
Almere
Almere is a modern planned city in the Dutch province of Flevoland, known for its rapid growth, contemporary architecture, and role as a major commuter town near Amsterdam.
-
B.
Aalsmeer
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
-
C.
Oisterwijk
Oisterwijk is a town in the Dutch province of North Brabant known for its historic center and surrounding forest and fen landscapes.
-
D.
Almere Centrum
Almere Centrum is the main railway station and central transport hub serving the city of Almere in the Netherlands.
-
E.
Weesp
Weesp is a historic town in the province of North Holland in the Netherlands, known for its canals, fortified structures, and traditional Dutch architecture.
- 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: Almere Buiten Triple: [Almere, hasRailwayStation, Almere Buiten]
Generated description
Almere Buiten is a railway station serving the Almere Buiten district in the city of Almere in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almere Buiten Target entity description: Almere Buiten is a railway station serving the Almere Buiten district in the city of Almere in the Netherlands.
-
A.
Almere
Almere is a modern planned city in the Dutch province of Flevoland, known for its rapid growth, contemporary architecture, and role as a major commuter town near Amsterdam.
-
B.
Aalsmeer
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
-
C.
Oisterwijk
Oisterwijk is a town in the Dutch province of North Brabant known for its historic center and surrounding forest and fen landscapes.
-
D.
Almere Centrum
Almere Centrum is the main railway station and central transport hub serving the city of Almere in the Netherlands.
-
E.
Weesp
Weesp is a historic town in the province of North Holland in the Netherlands, known for its canals, fortified structures, and traditional Dutch architecture.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec419788190a999a68f32fab39b |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f025ea08190b61dccc52a7a8940 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fdd9c4c819083b450657d0ece43 |
completed | May 12, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a0d6de8c8190b1f94c7de0856143 |
completed | May 12, 2026, 9:51 p.m. |
Created at: April 10, 2026, 10:30 a.m.