Triple
T22795860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulham Palace Road |
E564241
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
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 Road, hasNearbyLandmark, Bishop’s Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishop’s Park Context triple: [Fulham Palace Road, hasNearbyLandmark, 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.
King’s Park
King’s Park is an urban area in Hong Kong known for its residential neighborhoods, recreational facilities, and proximity to the bustling districts of Kowloon.
-
D.
Green Park
Green Park is a public park in Kanpur, India, historically significant enough to lend its name to the nearby Green Park Stadium.
-
E.
Green Park
Green Park is a Delhi Metro station in South Delhi serving the Green Park and nearby Hauz Khas and Safdarjung areas.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd8e0c4819086da0488bea56a34 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.