Triple
T8109819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huis Sorghvliet |
E189320
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Scheveningseweg |
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: Scheveningseweg | Statement: [Huis Sorghvliet, locatedNear, Scheveningseweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheveningseweg Context triple: [Huis Sorghvliet, locatedNear, Scheveningseweg]
-
A.
Scheveningseweg
chosen
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
B.
Willemsparkweg
Willemsparkweg is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings, boutiques, and proximity to the Vondelpark.
-
C.
Rijfstraat
Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
-
D.
Bezuidenhoutseweg
Bezuidenhoutseweg is a major street in The Hague, Netherlands, known for its government buildings, offices, and proximity to key city landmarks.
-
E.
Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fbc57c81908c6be87bbc547085 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe994fc881908a43cfdf9f28753c |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:32 p.m.