Triple
T13893881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuwmarkt metro station |
E334038
|
entity |
| Predicate | locatedUnder |
P10157
|
FINISHED |
| Object | Geldersekade |
E633463
|
NE FINISHED |
How this triple was built (2 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: Geldersekade | Statement: [Nieuwmarkt metro station, locatedUnder, Geldersekade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geldersekade Context triple: [Nieuwmarkt metro station, locatedUnder, Geldersekade]
-
A.
Geldersekade
chosen
Geldersekade is a historic canal and street in central Amsterdam, known for bordering the city’s old center and forming part of the edge of the Nieuwmarkt and Chinatown areas.
-
B.
Vlamingstraat
Vlamingstraat is a central street in Bruges, Belgium, known for its historic buildings, shops, and proximity to the city’s main square, the Markt.
-
C.
Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
-
D.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
E.
Roetersstraat
Roetersstraat is a street in Amsterdam that runs through the University of Amsterdam’s Roeterseiland campus area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c0b6848190b67051e0ccbdb707 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.