Triple
T5079137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro line 52 |
E114471
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Europaplein
Europaplein is a metro station in Amsterdam that serves as one of the stops on the city’s North–South Line (Metro line 52).
|
E491765
|
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: Europaplein | Statement: [Metro line 52, hasStation, Europaplein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Europaplein Context triple: [Metro line 52, hasStation, Europaplein]
-
A.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
-
B.
Koningsplein
Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
-
C.
Natieplein
Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
-
D.
Paleisstraat
Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
-
E.
Koningsstraat
Koningsstraat is a major central street in Brussels, Belgium, known for its straight, ceremonial layout and its role connecting key royal and administrative landmarks.
- 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: Europaplein Triple: [Metro line 52, hasStation, Europaplein]
Generated description
Europaplein is a metro station in Amsterdam that serves as one of the stops on the city’s North–South Line (Metro line 52).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Europaplein Target entity description: Europaplein is a metro station in Amsterdam that serves as one of the stops on the city’s North–South Line (Metro line 52).
-
A.
Koningsplein
Koningsplein is a central square in Amsterdam known for its proximity to major canals, shopping streets, and the historic city center.
-
B.
Koningsplein
Koningsplein is a prominent neoclassical square in central Brussels known for its historic buildings and cultural significance.
-
C.
Natieplein
Natieplein is the Dutch name for Place de la Nation, a notable public square in Paris, France.
-
D.
Paleisstraat
Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
-
E.
Koningsstraat
Koningsstraat is a major central street in Brussels, Belgium, known for its straight, ceremonial layout and its role connecting key royal and administrative landmarks.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f75cf0819088be9e076eaf3168 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb12bd7288190b66ac606aebcabca |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb19325fc8190b768b8bd27eb0d7c |
completed | March 21, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb23f789c8190811ee9e43327196c |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.