Triple
T11011560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gooi en Vechtstreek |
E260259
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Loosdrecht
Loosdrecht is a Dutch village in the province of North Holland, best known for its scenic lakes and water sports tourism.
|
E1181955
|
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: Loosdrecht | Statement: [Gooi en Vechtstreek, contains, Loosdrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loosdrecht Context triple: [Gooi en Vechtstreek, contains, Loosdrecht]
-
A.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
B.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
C.
Papendrecht
Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
-
D.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
-
E.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
- 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: Loosdrecht Triple: [Gooi en Vechtstreek, contains, Loosdrecht]
Generated description
Loosdrecht is a Dutch village in the province of North Holland, best known for its scenic lakes and water sports tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loosdrecht Target entity description: Loosdrecht is a Dutch village in the province of North Holland, best known for its scenic lakes and water sports tourism.
-
A.
Zwijndrecht
Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
-
B.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
C.
Papendrecht
Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
-
D.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
-
E.
Schoonhoven
Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797899a388190aa8fe813eac4dba7 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92635b08190a333702bec5b94e9 |
completed | May 9, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69ffaae751108190af653b2c9b9d3b8b |
completed | May 9, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab58e7e481908a13b739e0401b8b |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:25 p.m.