Triple
T19396648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wood Green |
E485206
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Woodside 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: Woodside Park | Statement: [Wood Green, hasPark, Woodside Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodside Park Context triple: [Wood Green, hasPark, Woodside Park]
-
A.
Woodside Park
chosen
Woodside Park is a suburban residential area in north London, known for its quiet streets, green spaces, and access to central London via its local station.
-
B.
Harwood Park
Harwood Park is a public recreational park located in Bridgeport, Texas, offering outdoor space and amenities for community activities and leisure.
-
C.
Sansom Park
Sansom Park is a small city located in Tarrant County, Texas, within the Dallas–Fort Worth metropolitan area.
-
D.
Brightwood Park
Brightwood Park is a primarily residential neighborhood in the northwestern quadrant of Washington, D.C., known for its tree-lined streets, rowhouses, and small local businesses.
-
E.
Lenora Park
Lenora Park is a public recreational park in Snellville, Georgia, featuring sports facilities, walking trails, and outdoor amenities for community use.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.