Triple
T3675053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 401 |
E77970
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Pickering |
E99468
|
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: Pickering | Statement: [Highway 401, passesThrough, Pickering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pickering Context triple: [Highway 401, passesThrough, Pickering]
-
A.
Pickering
chosen
Pickering is a suburban city in Southern Ontario, Canada, located just east of Toronto along Lake Ontario.
-
B.
Pickering
Pickering is an English-origin surname borne by numerous notable figures in science, politics, and the arts.
-
C.
Fiskeville
Fiskeville is a small village located within the town of Cranston in Providence County, Rhode Island.
-
D.
Camperdown
Camperdown is an inner-western suburb of Sydney, Australia, known for housing the main campus of the University of Sydney and major medical and research facilities.
-
E.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4619cf08190a09a4a820c59cbc4 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48856b7d481909d9cc32586d61d44 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.