Triple
T32695368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Week Montreal events |
E835990
|
entity |
| Predicate | takesPlaceInNeighborhood |
P120568
|
FINISHED |
| Object | Little Italy, Montreal |
—
|
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: Little Italy, Montreal | Statement: [Italian Week Montreal events, takesPlaceInNeighborhood, Little Italy, Montreal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesPlaceInNeighborhood Context triple: [Italian Week Montreal events, takesPlaceInNeighborhood, Little Italy, Montreal]
-
A.
takesPlaceInRegion
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
-
B.
takesPlace
chosen
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
C.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
D.
operatedInNeighborhood
Indicates that an entity conducted its activities or operations within a specific neighborhood.
-
E.
partOfNeighborhoodNetwork
Indicates that an entity belongs to, or is included within, a specific neighborhood’s interconnected network or system.
- F. None of above.
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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c81cd47c8190b3b8d476327688b8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:10 a.m.