Triple
T5810875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Highway 17 |
E128863
|
entity |
| Predicate | passesThrough |
P225
|
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: [Ontario Highway 17, passesThrough, Renfrew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renfrew Context triple: [Ontario Highway 17, passesThrough, 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.
Rothesay
Rothesay is a historic Scottish town on the Isle of Bute, known as a former royal burgh and traditional residence of Scottish monarchs.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e352c74481909e74fa0a2607b44d |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:52 p.m.