Triple
T7180967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amstelveenlijn |
E167444
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Uilenstede
Uilenstede is a tram and metro stop in Amstelveen, Netherlands, serving the nearby student housing complex and the southern suburbs of Amsterdam.
|
E647243
|
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: Uilenstede | Statement: [Amstelveenlijn, hasStation, Uilenstede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uilenstede Context triple: [Amstelveenlijn, hasStation, Uilenstede]
-
A.
Zwaanendael
Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
-
B.
Oudelande
Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
-
C.
Zijdelwaard
Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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: Uilenstede Triple: [Amstelveenlijn, hasStation, Uilenstede]
Generated description
Uilenstede is a tram and metro stop in Amstelveen, Netherlands, serving the nearby student housing complex and the southern suburbs of Amsterdam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uilenstede Target entity description: Uilenstede is a tram and metro stop in Amstelveen, Netherlands, serving the nearby student housing complex and the southern suburbs of Amsterdam.
-
A.
Zwaanendael
Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
-
B.
Oudelande
Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
-
C.
Zijdelwaard
Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
-
D.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8ba91908190a9055d4e026b655c |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b93d04ec8190ac5c5bf9ace7eca1 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9e55f84819099af471a65bb68aa |
completed | March 28, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba9317548190946e21c2731d58a7 |
completed | March 28, 2026, 11:25 a.m. |
Created at: March 27, 2026, 2:49 p.m.