Triple
T6548138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterlooplein metro station |
E151061
|
entity |
| Predicate | hasEntrance |
P6140
|
FINISHED |
| Object |
Zwanenburgwal
Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
|
E604528
|
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: Zwanenburgwal | Statement: [Waterlooplein metro station, hasEntrance, Zwanenburgwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zwanenburgwal Context triple: [Waterlooplein metro station, hasEntrance, Zwanenburgwal]
-
A.
Gouwzee
Gouwzee is a shallow bay in the Netherlands, located along the western shore of the Markermeer between the towns of Volendam and Marken.
-
B.
Bemmelerwaard
Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
-
C.
Reimerswaal
Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
-
D.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
E.
Tubbergen
Tubbergen is a rural municipality and village in the eastern Netherlands, located in the Twente region of the province of Overijssel.
- 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: Zwanenburgwal Triple: [Waterlooplein metro station, hasEntrance, Zwanenburgwal]
Generated description
Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zwanenburgwal Target entity description: Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
-
A.
Gouwzee
Gouwzee is a shallow bay in the Netherlands, located along the western shore of the Markermeer between the towns of Volendam and Marken.
-
B.
Bemmelerwaard
Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
-
C.
Reimerswaal
Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
-
D.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
E.
Tubbergen
Tubbergen is a rural municipality and village in the eastern Netherlands, located in the Twente region of the province of Overijssel.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf132a88190af4553857a474ebd |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54e11fc81909aa135d7c0f2c193 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d67574cc8190acf20c1a598c32ee |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.