Triple
T10505407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington, Sydney |
E247772
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Kensington Park
Kensington Park is a public recreational park located in the suburb of Kensington in Sydney, Australia.
|
E881345
|
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: Kensington Park | Statement: [Kensington, Sydney, hasPark, Kensington Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensington Park Context triple: [Kensington, Sydney, hasPark, Kensington Park]
-
A.
Kensington Park
Kensington Park is a local community park in Kensington, California, offering open green space and recreational amenities for neighborhood residents.
-
B.
Kensington Gardens
Kensington Gardens is a large, historic royal park in central London known for its landscaped grounds, cultural landmarks, and proximity to Kensington Palace.
-
C.
Old Kent Park
Old Kent Park was the original name of the minor league baseball stadium now known as LMCU Ballpark, home of the West Michigan Whitecaps.
-
D.
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.
-
E.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
- 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: Kensington Park Triple: [Kensington, Sydney, hasPark, Kensington Park]
Generated description
Kensington Park is a public recreational park located in the suburb of Kensington in Sydney, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kensington Park Target entity description: Kensington Park is a public recreational park located in the suburb of Kensington in Sydney, Australia.
-
A.
Kensington Park
Kensington Park is a local community park in Kensington, California, offering open green space and recreational amenities for neighborhood residents.
-
B.
Kensington Gardens
Kensington Gardens is a large, historic royal park in central London known for its landscaped grounds, cultural landmarks, and proximity to Kensington Palace.
-
C.
Old Kent Park
Old Kent Park was the original name of the minor league baseball stadium now known as LMCU Ballpark, home of the West Michigan Whitecaps.
-
D.
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.
-
E.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509a07c908190bf0e3e5d480b306d |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 6, 2026, 12:26 p.m.