Triple
T4395251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarington |
E99470
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kawartha Lakes |
E33320
|
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: Kawartha Lakes | Statement: [Clarington, borderedBy, Kawartha Lakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawartha Lakes Context triple: [Clarington, borderedBy, Kawartha Lakes]
-
A.
Kawartha Lakes
chosen
Kawartha Lakes is a single-tier city in central Ontario, Canada, known for its scenic lakes, cottage country, and outdoor recreation.
-
B.
Waterloo Lake
Waterloo Lake is a body of water located within Waterloo Lake Regional Park, serving as a central natural and recreational feature of the area.
-
C.
Lake Nipissing
Lake Nipissing is a large, shallow lake in northeastern Ontario, Canada, known for its recreational fishing, boating, and role as a regional tourism and transportation hub.
-
D.
Kirkland Lake
Kirkland Lake is a historic gold mining town in northeastern Ontario, Canada, known for its long-standing mining industry and small-town character.
-
E.
Lake Simcoe
Lake Simcoe is a large, popular recreational and fishing lake in south-central Ontario, Canada, situated between the Greater Toronto Area and cottage country.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352ab928c81909f4406d5df3e081b |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5ec77d081909b07ebd004be136f |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:20 p.m.