Triple
T17689322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer Harbour |
E440981
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cherry 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: Cherry Beach | Statement: [Outer Harbour, near, Cherry Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherry Beach Context triple: [Outer Harbour, near, Cherry Beach]
-
A.
Cherry Beach
chosen
Cherry Beach is a popular lakeside recreational beach and park area located along Toronto’s waterfront on Lake Ontario.
-
B.
Wasaga Beach
Wasaga Beach is a popular Canadian resort town on the shores of Georgian Bay, renowned for having one of the world’s longest freshwater beaches and a vibrant summer tourism scene.
-
C.
Bay View Beach
Bay View Beach is a coastal recreational beach located in the city of Saco in southern Maine.
-
D.
Tamarack Beach
Tamarack Beach is a popular sandy shoreline and recreational spot along the Pacific Ocean in Carlsbad, California.
-
E.
Taylor Bay Beach
Taylor Bay Beach is a tranquil, shallow-water beach on the island of Providenciales in Turks and Caicos, known for its soft white sand and calm, family-friendly lagoon.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704a6bb4819083752285baf3b3ee |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.