Triple
T1443346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Metro line 53 |
E31122
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
|
E211332
|
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: Wibautstraat | Statement: [Amsterdam Metro line 53, hasStation, Wibautstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wibautstraat Context triple: [Amsterdam Metro line 53, hasStation, Wibautstraat]
-
A.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
-
B.
Paleisstraat
Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
-
C.
Utrechtsestraat
Utrechtsestraat is a well-known shopping and dining street in central Amsterdam, noted for its historic canalside setting and mix of boutiques, cafés, and restaurants.
-
D.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
-
E.
Reguliersbreestraat
Reguliersbreestraat is a well-known shopping and nightlife street in central Amsterdam, noted for its cinemas, bars, and vibrant atmosphere.
- 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: Wibautstraat Triple: [Amsterdam Metro line 53, hasStation, Wibautstraat]
Generated description
Wibautstraat 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: Wibautstraat Target entity description: Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
A.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
-
B.
Paleisstraat
Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
-
C.
Utrechtsestraat
Utrechtsestraat is a well-known shopping and dining street in central Amsterdam, noted for its historic canalside setting and mix of boutiques, cafés, and restaurants.
-
D.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
-
E.
Reguliersbreestraat
Reguliersbreestraat is a well-known shopping and nightlife street in central Amsterdam, noted for its cinemas, bars, and vibrant atmosphere.
- 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_69adeabbc9588190880996e549b8bd7a |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb6e8fe08190a4732d42aa15ee8e |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adebea03a08190bd055e3e6460b5f4 |
completed | March 8, 2026, 9:36 p.m. |
Created at: March 1, 2026, 8 p.m.