Triple
T16942485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Royale / Koningsstraat |
E410980
|
entity |
| Predicate | officialNameInDutch |
P13254
|
FINISHED |
| Object | Koningsstraat |
E419808
|
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: Koningsstraat | Statement: [Rue Royale / Koningsstraat, officialNameInDutch, Koningsstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koningsstraat Context triple: [Rue Royale / Koningsstraat, officialNameInDutch, Koningsstraat]
-
A.
Koningsstraat
chosen
Koningsstraat is a major central street in Brussels, Belgium, known for its straight, ceremonial layout and its role connecting key royal and administrative landmarks.
-
B.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
-
C.
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
-
D.
Hertogstraat
Hertogstraat is the Dutch name for Rue Ducale, a prominent street located in the center of Brussels, Belgium.
-
E.
Servetstraat
Servetstraat is a small historic street located near Dom Square in the center of Utrecht, Netherlands.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfafc8448190a25be8ada84eff9c |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfea3bc88190acaa013169d607c5 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.