Triple
T18308854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Island Beach |
E438561
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Centre Island |
—
|
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: Centre Island | Statement: [Centre Island Beach, locatedOn, Centre Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre Island Context triple: [Centre Island Beach, locatedOn, Centre Island]
-
A.
Centre Island
chosen
Centre Island is a popular recreational island in Toronto, known for its parks, beaches, family attractions, and views of the city skyline.
-
B.
Centre Island
Centre Island is a small river island located within Cork city in Ireland.
-
C.
Southwood
Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
-
D.
Waldeck Upland
Waldeck Upland is a hilly, forested region in central Germany known for its reservoirs, nature parks, and outdoor recreation areas.
-
E.
Point Pleasant
Point Pleasant is a short-lived 2005 supernatural drama television series that blends horror and mystery as it follows a young woman with ominous powers arriving in a New Jersey beach town.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021709f88190a8047dd57edc2029 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.