Triple
T21537494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viau |
E531385
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Avenue Viau |
—
|
NE NERFINISHED |
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: Avenue Viau | Statement: [Viau, namedAfter, Avenue Viau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avenue Viau Context triple: [Viau, namedAfter, Avenue Viau]
-
A.
Avenue Viau
chosen
Avenue Viau is a major north–south thoroughfare in Montreal, Quebec, that lends its name to the nearby Viau metro station.
-
B.
Rue Joliette
Rue Joliette is a street in Marseille, France, known for giving its name to the nearby Joliette metro station.
-
C.
Boulevard Langelier
Boulevard Langelier is a major urban thoroughfare in Montreal, Quebec, known for connecting several residential and commercial districts on the island.
-
D.
Boulevard Gouin Est
Boulevard Gouin Est is a major thoroughfare in Montreal that runs along the Rivière des Prairies, serving as an important local artery through several northeastern boroughs.
-
E.
Avenue du Docteur Ménard
Avenue du Docteur Ménard is a street in Nice, France, notably known for hosting the Musée Marc Chagall.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0fdf448190b47ac7c28904f86b |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.