Triple
T15233033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Avenue, Toronto |
E364051
|
entity |
| Predicate | hasIntersection |
P1018
|
FINISHED |
| Object | Front Street West |
E108653
|
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: Front Street West | Statement: [University Avenue, Toronto, hasIntersection, Front Street West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Front Street West Context triple: [University Avenue, Toronto, hasIntersection, Front Street West]
-
A.
Front Street West
chosen
Front Street West is a major east–west thoroughfare in downtown Toronto lined with offices, entertainment venues, and historic industrial buildings.
-
B.
Front Street East
Front Street East is a major historic thoroughfare in downtown Toronto, Canada, lined with heritage buildings, markets, and mixed-use developments.
-
C.
Front Street
Front Street is a commercial district known as a primary shopping area in Arnold.
-
D.
Front Street
Front Street is one of Philadelphia’s oldest and most historically significant north–south thoroughfares, running along the city’s original waterfront and forming part of its foundational street grid.
-
E.
Front Street
Front Street is the main commercial thoroughfare in Philipsburg, Sint Maarten, known for its duty-free shops, restaurants, and proximity to the beachfront.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3beae88190a91af2c9a7def8f8 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.