Triple
T8281063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lange Niezel |
E193671
|
entity |
| Predicate | hasNearby |
P350
|
FINISHED |
| Object |
Warmoesstraat
Warmoesstraat is one of Amsterdam’s oldest streets, known for its historic buildings, nightlife, and proximity to the Red Light District in the city center.
|
E723293
|
NE FINISHED |
How this triple was built (4 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: Warmoesstraat | Statement: [Lange Niezel, hasNearby, Warmoesstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warmoesstraat Context triple: [Lange Niezel, hasNearby, Warmoesstraat]
-
A.
Valkenburgerstraat
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
B.
Van Baerlestraat
Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
-
C.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
D.
De Lairessestraat
De Lairessestraat is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings and proximity to 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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Warmoesstraat Triple: [Lange Niezel, hasNearby, Warmoesstraat]
Generated description
Warmoesstraat is one of Amsterdam’s oldest streets, known for its historic buildings, nightlife, and proximity to the Red Light District in the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warmoesstraat Target entity description: Warmoesstraat is one of Amsterdam’s oldest streets, known for its historic buildings, nightlife, and proximity to the Red Light District in the city center.
-
A.
Valkenburgerstraat
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
B.
Van Baerlestraat
Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
-
C.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
D.
De Lairessestraat
De Lairessestraat is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings and proximity to 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. chosen
Provenance (5 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ee66e48190af7058b14f3daac9 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6877b8e481908ec1e0b91a5276f6 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d5441248190a9e32281dc8e8d62 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e20f71c8190959319c6683a2810 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:51 p.m.