Triple
T26899774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Hubert borough |
E677994
|
entity |
| Predicate | hasResidentialNeighbourhoodType |
P122880
|
FINISHED |
| Object | single-family homes |
—
|
LITERAL 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: single-family homes | Statement: [Saint-Hubert borough, hasResidentialNeighbourhoodType, single-family homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialNeighbourhoodType Context triple: [Saint-Hubert borough, hasResidentialNeighbourhoodType, single-family homes]
-
A.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
B.
hasResidentialBuildingsType
chosen
Indicates that an entity is associated with a specific type or category of residential buildings.
-
C.
hasResidentialBuilding
Indicates that an entity possesses, contains, or is associated with a residential building as part of its properties or components.
-
D.
isInResidentialArea
Indicates that something is located within a residential area, such as a neighborhood or zone primarily designated for housing.
-
E.
isResidential
Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: April 27, 2026, 5:50 a.m.