Triple
T5382217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Outlet Shops of Grand River |
E113112
|
entity |
| Predicate | hasTypeOfTenants |
P60731
|
FINISHED |
| Object | apparel outlet stores |
—
|
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: apparel outlet stores | Statement: [The Outlet Shops of Grand River, hasTypeOfTenants, apparel outlet stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTenants Context triple: [The Outlet Shops of Grand River, hasTypeOfTenants, apparel outlet stores]
-
A.
hasTenants
Indicates that an entity occupies or rents space from another entity as its tenant.
-
B.
hasMajorTenantType
chosen
Indicates that an entity (such as a property or building) is associated with a primary or predominant type of tenant.
-
C.
mainTenant
Indicates that the subject is the primary tenant responsible for a property or rental agreement, as opposed to a subtenant or secondary occupant.
-
D.
numberOfAnchorTenants
Indicates the count of primary or major tenants associated with a given property or location.
-
E.
tenantType
Indicates the classification or category of a tenant in a tenancy or rental relationship.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.