Triple
T18972063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulham Palace |
E464192
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bishop's Park |
—
|
NE NERFINISHED |
How this triple was built (2 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: Bishop's Park | Statement: [Fulham Palace, near, Bishop's Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishop's Park Context triple: [Fulham Palace, near, Bishop's Park]
-
A.
Bishop's Park
chosen
Bishop's Park is a riverside public park in Fulham, London, known for its tree-lined paths, sports facilities, and views along the River Thames.
-
B.
George Green Park
George Green Park is a public recreational park located in Anoka, Minnesota, offering outdoor green space and amenities for community use.
-
C.
West Park
West Park is a prominent public park in Long Eaton, Derbyshire, known for its open green spaces, sports facilities, and riverside walks.
-
D.
West Park
West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
-
E.
Bronte Park
Bronte Park is a popular seaside green space in Sydney’s eastern suburbs, known for its grassy picnic areas, ocean views, and proximity to Bronte Beach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61a8bbc8190881908a71e0f2a53 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon