Triple
T1443349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Metro line 53 |
E31122
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
|
E165423
|
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: Van der Madeweg | Statement: [Amsterdam Metro line 53, hasStation, Van der Madeweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Van der Madeweg Context triple: [Amsterdam Metro line 53, hasStation, Van der Madeweg]
-
A.
Sjaalman
Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
-
B.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
C.
Poeldijk
Poeldijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
-
D.
van Slingelandt
Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
-
E.
Jan van der Vliet
Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
- 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: Van der Madeweg Triple: [Amsterdam Metro line 53, hasStation, Van der Madeweg]
Generated description
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Van der Madeweg Target entity description: Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
A.
Sjaalman
Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
-
B.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
C.
Poeldijk
Poeldijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
-
D.
van Slingelandt
Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
-
E.
Jan van der Vliet
Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c533a158819084d0917776edb6e5 |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08be450c8190bc0b8a69733a0bd4 |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad09823ce481908b5db3ee9ebd1a88 |
completed | March 8, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a8f17888190913c06641a6ac060 |
completed | March 8, 2026, 5:35 a.m. |
Created at: March 1, 2026, 8 p.m.