Triple
T10864801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negen Straatjes |
E256498
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Berenstraat |
E892038
|
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: Berenstraat | Statement: [Negen Straatjes, hasStreet, Berenstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berenstraat Context triple: [Negen Straatjes, hasStreet, Berenstraat]
-
A.
Wollestraat
Wollestraat is a historic shopping street in the center of Bruges, Belgium, known for its medieval architecture and proximity to the city’s main square.
-
B.
Westerstraat
Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
-
C.
Steenstraat
Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
-
D.
Reestraat
chosen
Reestraat is one of Amsterdam’s historic “Nine Streets,” a picturesque canal-district shopping street known for its boutiques, cafés, and characteristic canal houses.
-
E.
Rijfstraat
Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516b2f148190adbacd35fc8c2056 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2167717008190bd282f318e7f9769 |
completed | April 17, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:20 p.m.