Triple
T10011484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Italy, Montreal |
E199383
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Villeray |
E670016
|
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: Villeray | Statement: [Little Italy, Montreal, adjacentTo, Villeray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villeray Context triple: [Little Italy, Montreal, adjacentTo, Villeray]
-
A.
Villeray
chosen
Villeray is a residential neighborhood in Montreal, Quebec, known for its diverse population, local shops, and proximity to Jarry Park.
-
B.
Ville-la-Grand
Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
-
C.
Firminy
Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
-
D.
Loison
Loison is a small river in northeastern France that serves as a tributary of the Chiers.
-
E.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd3b68888190b8a325b52d57c5b8 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28211c2448190897fd4078a266154 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:52 p.m.