Triple
T8197444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaasperplas |
E191467
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Gaasperdammerweg
Gaasperdammerweg is a major roadway in Amsterdam’s southeastern area, running near the Gaasperplas recreational lake and park.
|
E721916
|
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: Gaasperdammerweg | Statement: [Gaasperplas, locatedNear, Gaasperdammerweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaasperdammerweg Context triple: [Gaasperplas, locatedNear, Gaasperdammerweg]
-
A.
Bezuidenhoutseweg
Bezuidenhoutseweg is a major street in The Hague, Netherlands, known for its government buildings, offices, and proximity to key city landmarks.
-
B.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
C.
Willemsparkweg
Willemsparkweg is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings, boutiques, and proximity to the Vondelpark.
-
D.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
E.
Damstraat
Damstraat is a central street in Amsterdam’s historic city center, linking Dam Square with the Red Light District and lined with shops, cafés, and tourist-oriented 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: Gaasperdammerweg Triple: [Gaasperplas, locatedNear, Gaasperdammerweg]
Generated description
Gaasperdammerweg is a major roadway in Amsterdam’s southeastern area, running near the Gaasperplas recreational lake and park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaasperdammerweg Target entity description: Gaasperdammerweg is a major roadway in Amsterdam’s southeastern area, running near the Gaasperplas recreational lake and park.
-
A.
Bezuidenhoutseweg
Bezuidenhoutseweg is a major street in The Hague, Netherlands, known for its government buildings, offices, and proximity to key city landmarks.
-
B.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
C.
Willemsparkweg
Willemsparkweg is a prominent street in Amsterdam’s Oud-Zuid district, known for its upscale residential buildings, boutiques, and proximity to the Vondelpark.
-
D.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
E.
Damstraat
Damstraat is a central street in Amsterdam’s historic city center, linking Dam Square with the Red Light District and lined with shops, cafés, and tourist-oriented 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c2341f881908be59c378896e5bc |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34a11138819093b9a17ab8b8ec8a |
completed | April 1, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69cd4e5e9a2c819099a65053a12c8fde |
completed | April 1, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd507ce2a881909da6871a9f6df119 |
completed | April 1, 2026, 5:06 p.m. |
Created at: March 30, 2026, 5:42 p.m.