Triple
T19147081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodbine Avenue |
E468706
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Woodbine Beach |
—
|
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: Woodbine Beach | Statement: [Woodbine Avenue, near, Woodbine Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodbine Beach Context triple: [Woodbine Avenue, near, Woodbine Beach]
-
A.
Woodbine Beach Park
chosen
Woodbine Beach Park is a popular public beach and recreational area on Toronto’s Lake Ontario waterfront, known for its sandy shoreline, boardwalk, and seasonal activities.
-
B.
Waterloo Beach
Waterloo Beach is a recreational waterfront area in Waterloo known for its sandy shoreline and outdoor leisure activities.
-
C.
Ottawa Beach
Ottawa Beach is a popular Lake Michigan lakeshore destination in Michigan known for its sandy beach, scenic dunes, and recreational access near Holland Harbor.
-
D.
Whitecap Beach
Whitecap Beach is a popular sandy shoreline on North Padre Island near Corpus Christi, Texas, known for its Gulf Coast surf, driving on the beach, and family-friendly recreation.
-
E.
Cherry Beach
Cherry Beach is a popular lakeside recreational beach and park area located along Toronto’s waterfront on Lake Ontario.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97a79a48190b243553023bf9081 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.