Triple
T14020064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dappermarkt |
E337306
|
entity |
| Predicate | street |
P959
|
FINISHED |
| Object | Dapperstraat |
E1081065
|
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: Dapperstraat | Statement: [Dappermarkt, street, Dapperstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dapperstraat Context triple: [Dappermarkt, street, Dapperstraat]
-
A.
Dapperstraat
chosen
Dapperstraat is a well-known shopping and market street in Amsterdam, noted for the daily Dappermarkt and its lively, multicultural atmosphere.
-
B.
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
-
C.
Breidelstraat
Breidelstraat is a historic street in the center of Bruges, Belgium, connecting the Markt square with other medieval lanes and lined with traditional Flemish architecture.
-
D.
Hartenstraat
Hartenstraat is one of the small, picturesque shopping streets in Amsterdam’s historic Negen Straatjes (Nine Streets) district, known for its boutiques, cafés, and canal-side charm.
-
E.
Domstraat
Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192ee1ac81908663ebd2e06784f1 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:19 p.m.