Triple
T10011485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Italy, Montreal |
E199383
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Mile-Ex
Mile-Ex is a small, rapidly gentrifying Montreal neighborhood known for its mix of industrial spaces, creative studios, and trendy cafes.
|
E835989
|
NE FINISHED |
How this triple was built (4 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: Mile-Ex | Statement: [Little Italy, Montreal, adjacentTo, Mile-Ex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mile-Ex Context triple: [Little Italy, Montreal, adjacentTo, Mile-Ex]
-
A.
Purola
Purola is a small town in the Uttarkashi district of Uttarakhand, India, known as a local commercial hub and gateway to nearby Himalayan regions.
-
B.
LouSeal
LouSeal is the playful seal mascot of the Columbus Clippers minor league baseball team, entertaining fans at games in Columbus, Ohio.
-
C.
Firestone
Firestone is a major American tire brand known for supplying high-performance racing tires, particularly in open-wheel series like IndyCar.
-
D.
Olite
Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
-
E.
Carrigan
Carrigan is a surname of Irish origin borne by various notable individuals, including athletes, entertainers, and public figures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mile-Ex Triple: [Little Italy, Montreal, adjacentTo, Mile-Ex]
Generated description
Mile-Ex is a small, rapidly gentrifying Montreal neighborhood known for its mix of industrial spaces, creative studios, and trendy cafes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mile-Ex Target entity description: Mile-Ex is a small, rapidly gentrifying Montreal neighborhood known for its mix of industrial spaces, creative studios, and trendy cafes.
-
A.
Purola
Purola is a small town in the Uttarkashi district of Uttarakhand, India, known as a local commercial hub and gateway to nearby Himalayan regions.
-
B.
LouSeal
LouSeal is the playful seal mascot of the Columbus Clippers minor league baseball team, entertaining fans at games in Columbus, Ohio.
-
C.
Firestone
Firestone is a major American tire brand known for supplying high-performance racing tires, particularly in open-wheel series like IndyCar.
-
D.
Olite
Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
-
E.
Carrigan
Carrigan is a surname of Irish origin borne by various notable individuals, including athletes, entertainers, and public figures.
- F. None of above. chosen
Provenance (5 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_69d26a7b0ce08190b6109ddbc0b05362 |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26b6d52e8819082fed0bfdaf48e4c |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:52 p.m.