Triple
T629811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Widnes |
E15899
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Victoria Park
Victoria Park is a public recreational park in Widnes, England, featuring green spaces, sports facilities, and community amenities.
|
E83920
|
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: Victoria Park | Statement: [Widnes, hasPark, Victoria Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Park Context triple: [Widnes, hasPark, Victoria Park]
-
A.
Victoria Park
Victoria Park is a public urban park in Hamilton, New Zealand, known as a local green space for outdoor recreation and community activities.
-
B.
Queen Victoria Park
Queen Victoria Park is a scenic public park in Niagara Falls, Canada, known for its landscaped gardens, walking paths, and panoramic views of the waterfalls.
-
C.
Royal Park
Royal Park refers to Greenwich Park, a historic royal green space in London that forms part of the Maritime Greenwich UNESCO World Heritage Site.
-
D.
St. Mary’s Park
St. Mary’s Park is a public green space in the Bronx known for its athletic fields, playgrounds, and community recreation facilities.
-
E.
Green Park
Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
- 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: Victoria Park Triple: [Widnes, hasPark, Victoria Park]
Generated description
Victoria Park is a public recreational park in Widnes, England, featuring green spaces, sports facilities, and community amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victoria Park Target entity description: Victoria Park is a public recreational park in Widnes, England, featuring green spaces, sports facilities, and community amenities.
-
A.
Victoria Park
Victoria Park is a public urban park in Hamilton, New Zealand, known as a local green space for outdoor recreation and community activities.
-
B.
Queen Victoria Park
Queen Victoria Park is a scenic public park in Niagara Falls, Canada, known for its landscaped gardens, walking paths, and panoramic views of the waterfalls.
-
C.
Royal Park
Royal Park refers to Greenwich Park, a historic royal green space in London that forms part of the Maritime Greenwich UNESCO World Heritage Site.
-
D.
St. Mary’s Park
St. Mary’s Park is a public green space in the Bronx known for its athletic fields, playgrounds, and community recreation facilities.
-
E.
Green Park
Green Park is a central London royal park known for its open lawns, mature trees, and tranquil atmosphere between Buckingham Palace and Piccadilly.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec051bc8190b3e3f8651a367d77 |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc91ff30819095a00852c3e2dfae |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5de26ff1081908a60b55a1deab804 |
completed | March 2, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff1ac6f481909915fd5b2e648558 |
completed | March 2, 2026, 9:20 p.m. |
Created at: March 1, 2026, 7:35 p.m.