Triple
T538583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Street |
E12379
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Het Straatje |
E12379
|
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: Het Straatje | Statement: [The Little Street, originalTitle, Het Straatje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Het Straatje Context triple: [The Little Street, originalTitle, Het Straatje]
-
A.
The Little Street
chosen
The Little Street is a celebrated 17th-century genre painting by Dutch artist Johannes Vermeer depicting a quiet, everyday street scene in his hometown of Delft.
-
B.
Het Hogeland
Het Hogeland is a coastal municipality in the northern Netherlands known for its open landscapes, historic villages, and Wadden Sea shoreline.
-
C.
De Pijp
De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
-
D.
Ommelanden
Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
-
E.
Kaag en Braassem
Kaag en Braassem is a municipality in the Dutch province of South Holland known for its lakes, waterways, and water sports tourism.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dd31c88190b3114805aa31931c |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c03256a08190955f8e8d5cda4b08 |
completed | March 1, 2026, 10:39 p.m. |
Created at: March 1, 2026, 7:32 p.m.