Triple
T11273109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoordenhout |
E266862
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wassenaarseweg |
E255467
|
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: Wassenaarseweg | Statement: [Benoordenhout, contains, Wassenaarseweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wassenaarseweg Context triple: [Benoordenhout, contains, Wassenaarseweg]
-
A.
Westphalweg
Westphalweg is a station on Berlin’s U6 U-Bahn line serving the Tempelhof-Schöneberg district in the southern part of the city.
-
B.
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.
-
C.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
-
D.
Scheveningseweg
chosen
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
E.
Wetstraat
Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a0edcd081908547745d16d643ab |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:31 p.m.