Triple
T2996367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Griffiss |
E81078
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bushy Park |
E11281
|
NE FINISHED |
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: Bushy Park | Statement: [Camp Griffiss, locatedIn, Bushy Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bushy Park Context triple: [Camp Griffiss, locatedIn, Bushy Park]
-
A.
Bushy Park
chosen
Bushy Park is a large historic royal park in southwest London that notably served as a key Allied military headquarters during World War II.
-
B.
Ruskin Park
Ruskin Park is a public green space in the London Borough of Lambeth, known for its landscaped gardens, playgrounds, and views over the city.
-
C.
Irwin Park
Irwin Park is a small historic urban park in Honolulu, Hawaii, known for its shaded green space amid the downtown waterfront area.
-
D.
Hardy Park
Hardy Park is a public waterfront park in Brockville, Ontario, known for its recreational facilities, green space, and scenic views along the St. Lawrence River.
-
E.
Bronson Park
Bronson Park is a historic public green space and civic gathering area located in downtown Kalamazoo, Michigan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f481688190ae8cd1e057f9dfc7 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44ec8df7081908dccdb36b7d1ca53 |
completed | March 13, 2026, 5:52 p.m. |
Created at: March 8, 2026, 2:59 p.m.