Triple
T8815833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noordermarkt |
E209774
|
entity |
| Predicate | locatedInNeighbourhood |
P40
|
FINISHED |
| Object | Jordaan |
E64916
|
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: Jordaan | Statement: [Noordermarkt, locatedInNeighbourhood, Jordaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordaan Context triple: [Noordermarkt, locatedInNeighbourhood, Jordaan]
-
A.
Jordaan
chosen
Jordaan is a historic and picturesque neighborhood in central Amsterdam known for its narrow streets, canals, art galleries, and vibrant café culture.
-
B.
Nieuwegracht
Nieuwegracht is a historic canal in the Dutch city of Utrecht, known for its picturesque quays, wharf cellars, and centuries-old houses lining its banks.
-
C.
Wetstraat
Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
-
D.
Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
-
E.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff2ff248190bafcafe8b3860e53 |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc923ee708190a669749ad0752204 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:45 p.m.