Triple
T8465846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Georgina |
E200158
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Roches Point |
E274843
|
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: Roches Point | Statement: [Town of Georgina, hasCommunity, Roches Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roches Point Context triple: [Town of Georgina, hasCommunity, Roches Point]
-
A.
Roches Point
chosen
Roches Point is a small lakeside community within the town of Georgina in Ontario, Canada, known for its location on the shores of Lake Simcoe.
-
B.
Rocky Point
Rocky Point is the English name for Puerto Peñasco, a popular beach resort city on the Gulf of California in the Mexican state of Sonora.
-
C.
Rocky Point
Rocky Point is a coastal headland or shoreline area located along the coast of Saint Thomas Parish in Jamaica.
-
D.
Rocky Point
Rocky Point is a hamlet on the north shore of Long Island in Suffolk County, New York, known for its residential communities and coastal setting.
-
E.
Brown’s Point
Brown’s Point is a coastal neighborhood and headland in Tacoma, Washington, known for its historic lighthouse and views over Commencement Bay and Puget Sound.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d17ec8819093becdaec750aff5 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.