Triple
T9764486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.C. Hooftstraat |
E236750
|
entity |
| Predicate | hasNameAbbreviation |
P8075
|
FINISHED |
| Object | P.C. Hooftstraat |
E236750
|
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: P.C. Hooftstraat | Statement: [P.C. Hooftstraat, hasNameAbbreviation, P.C. Hooftstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P.C. Hooftstraat Context triple: [P.C. Hooftstraat, hasNameAbbreviation, P.C. Hooftstraat]
-
A.
P.C. Hooftstraat
chosen
P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
-
B.
Lepelstraat
Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
-
C.
Roetersstraat
Roetersstraat is a street in Amsterdam that runs through the University of Amsterdam’s Roeterseiland campus area.
-
D.
Cornelis Krusemanstraat
Cornelis Krusemanstraat is a residential street in Amsterdam’s Oud-Zuid district, known for its upscale housing and proximity to museums and cultural attractions.
-
E.
Schupstraat
Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09ed54c8190a5879e14184cddf4 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcf2cdd08190a051d406e199f45a |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:25 p.m.