Triple
T17572989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brossard |
E427984
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Greenfield 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: Greenfield Park | Statement: [Brossard, borderedBy, Greenfield Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenfield Park Context triple: [Brossard, borderedBy, Greenfield Park]
-
A.
Greenfield Park
chosen
Greenfield Park is a residential borough on the South Shore of Montreal in Quebec, Canada, known for its suburban character and bilingual community.
-
B.
Greenfield Park
Greenfield Park is a public recreational park in Milwaukee County, Wisconsin, known for its green spaces, trails, and outdoor amenities.
-
C.
Evergreen Park
Evergreen Park is a large, scenic urban green space in Haikou, China, known for its waterfront views, walking paths, and recreational areas.
-
D.
Evergreen Park
Evergreen Park is a public neighborhood park in Bellaire, Texas, offering outdoor recreational space for local residents.
-
E.
Meadowbrook Park
Meadowbrook Park is a large, scenic public park in Urbana, Illinois, known for its natural prairies, walking trails, and community recreation 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459330c788190907a02fc98e0e24b |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.