Triple
T9012844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roeterseiland Campus |
E215515
|
entity |
| Predicate | hasAddressComponent |
P45702
|
FINISHED |
| Object |
Valckenierstraat
Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
|
E786723
|
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: Valckenierstraat | Statement: [Roeterseiland Campus, hasAddressComponent, Valckenierstraat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valckenierstraat Context triple: [Roeterseiland Campus, hasAddressComponent, Valckenierstraat]
-
A.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Valkenburgerstraat
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
C.
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.
-
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.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
- 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: Valckenierstraat Triple: [Roeterseiland Campus, hasAddressComponent, Valckenierstraat]
Generated description
Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valckenierstraat Target entity description: Valckenierstraat is a street in Amsterdam, Netherlands, located near the University of Amsterdam’s Roeterseiland Campus.
-
A.
Wibautstraat
Wibautstraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Valkenburgerstraat
Valkenburgerstraat is a street in central Amsterdam, Netherlands, located near the Waterlooplein area and served by the city’s metro network.
-
C.
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.
-
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.
Kalverstraat
Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f96980819093bfc49d48570c65 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0773aee148190ad4da1b91271e48c |
completed | April 4, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69d07c2dffd0819096e3614d68ecdcc2 |
completed | April 4, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07c8549688190a125ef09720c933b |
completed | April 4, 2026, 2:50 a.m. |
Created at: March 30, 2026, 7:06 p.m.