Triple
T8601686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels–Amsterdam |
E203690
|
entity |
| Predicate | usesInfrastructure |
P6820
|
FINISHED |
| Object | HSL-Zuid |
E199939
|
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: HSL-Zuid | Statement: [Brussels–Amsterdam, usesInfrastructure, HSL-Zuid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSL-Zuid Context triple: [Brussels–Amsterdam, usesInfrastructure, HSL-Zuid]
-
A.
HSL-Zuid
chosen
HSL-Zuid is a Dutch high-speed railway line connecting the Randstad region with Belgium and beyond as part of the international high-speed rail network.
-
B.
Zuid (Antwerp)
Zuid (Antwerp) is a trendy, upscale neighborhood in Antwerp known for its vibrant arts scene, stylish cafes, and cultural institutions.
-
C.
Oud-Zuid
Oud-Zuid is a residential neighborhood in the Dutch city of Tilburg, known for its mix of older housing, local amenities, and proximity to the city center.
-
D.
Oud-Zuid
Oud-Zuid is an affluent, culturally rich district in Amsterdam known for its museums, upscale shopping streets, and historic architecture.
-
E.
Bezuidenhout district
Bezuidenhout district is a central neighborhood in The Hague, Netherlands, known for its mix of offices, residential areas, and major transport connections.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f13f7081908317c1b2d87a51b2 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.