Triple
T8063305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boerenwetering |
E188177
|
entity |
| Predicate | separates |
P1175
|
FINISHED |
| Object | Oud-Zuid |
E116359
|
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: Oud-Zuid | Statement: [Boerenwetering, separates, Oud-Zuid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oud-Zuid Context triple: [Boerenwetering, separates, Oud-Zuid]
-
A.
Oud-Zuid
chosen
Oud-Zuid is an affluent, culturally rich district in Amsterdam known for its museums, upscale shopping streets, and historic architecture.
-
B.
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.
-
C.
Amsterdam-Zuidoost
Amsterdam-Zuidoost is a southeastern borough of Amsterdam known for its multicultural population, modern residential areas, and major venues like the Johan Cruyff Arena.
-
D.
Amsterdam Zuid
Amsterdam Zuid is a major railway and business district station in the southern part of Amsterdam, serving as a key hub for regional and international connections.
-
E.
Amsterdam Oud-Zuid
Amsterdam Oud-Zuid is an affluent, historic district in the southern part of Amsterdam known for its elegant residential streets, museums, and proximity to Vondelpark.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63da3bd08190894b2f4c977167c0 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.