Triple
T9985546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McNab/Braeside, Ontario |
E196558
|
entity |
| Predicate | isInCensusDivision |
P32184
|
FINISHED |
| Object | Renfrew |
E272570
|
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: Renfrew | Statement: [McNab/Braeside, Ontario, isInCensusDivision, Renfrew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renfrew Context triple: [McNab/Braeside, Ontario, isInCensusDivision, Renfrew]
-
A.
Renfrew
Renfrew is a historic town in west-central Scotland, often referred to as the “Cradle of the Royal Stewarts” due to its long association with the Stewart royal dynasty.
-
B.
Renfrew
chosen
Renfrew is a county in eastern Ontario, Canada, known for its rural communities, forests, and location along the Ottawa River.
-
C.
Lanark
Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
-
D.
Lanark
Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
-
E.
Stewarton
Stewarton is a small Scottish town in East Ayrshire known historically for its textile and bonnet-making industries.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79af13c81909349ae0b0d5da946 |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257fe0e348190b55fbd38e21cff7c |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:49 p.m.