Triple
T6676076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Island Park |
E151854
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Centre Island |
E96323
|
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: Centre Island | Statement: [Olympic Island Park, near, Centre Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre Island Context triple: [Olympic Island Park, near, 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.
Island Grove
Island Grove is a small lakeside community within the town of Georgina in Ontario, Canada.
-
E.
Waldeck Upland
Waldeck Upland is a hilly, forested region in central Germany known for its reservoirs, nature parks, and outdoor recreation areas.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f4184481908869354addf4f8c4 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a57bd88190a423ff7d2139aa51 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:03 p.m.