Triple
T15501799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N205 (Drie Merenweg) |
E378975
|
entity |
| Predicate | localName |
P657
|
FINISHED |
| Object |
Drie Merenweg
Drie Merenweg is a Dutch regional road designated N205 that serves as an important traffic artery in the province of North Holland.
|
E1160933
|
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: Drie Merenweg | Statement: [N205 (Drie Merenweg), localName, Drie Merenweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drie Merenweg Context triple: [N205 (Drie Merenweg), localName, Drie Merenweg]
-
A.
Wetstraat
Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
-
B.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
-
C.
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
D.
Hobbemastraat
Hobbemastraat is a street in Amsterdam, Netherlands, known for its proximity to major museums and cultural attractions near Museumplein.
-
E.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
- 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: Drie Merenweg Triple: [N205 (Drie Merenweg), localName, Drie Merenweg]
Generated description
Drie Merenweg is a Dutch regional road designated N205 that serves as an important traffic artery in the province of North Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drie Merenweg Target entity description: Drie Merenweg is a Dutch regional road designated N205 that serves as an important traffic artery in the province of North Holland.
-
A.
Wetstraat
Wetstraat is a major thoroughfare in Brussels that serves as a central hub for Belgian federal institutions and key European Union buildings.
-
B.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
-
C.
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
D.
Hobbemastraat
Hobbemastraat is a street in Amsterdam, Netherlands, known for its proximity to major museums and cultural attractions near Museumplein.
-
E.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3669f908819087162b1b8a4e4320 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:54 a.m.