Triple
T19557466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsawwassen Mills |
E489352
|
entity |
| Predicate | hasAnchorTenantType |
P60731
|
FINISHED |
| Object | factory 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: factory outlet stores | Statement: [Tsawwassen Mills, hasAnchorTenantType, factory outlet stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnchorTenantType Context triple: [Tsawwassen Mills, hasAnchorTenantType, factory outlet stores]
-
A.
hasMajorTenantType
chosen
Indicates that an entity (such as a property or building) is associated with a primary or predominant type of tenant.
-
B.
hasTenants
Indicates that an entity occupies or rents space from another entity as its tenant.
-
C.
anchorTenant
Indicates that an entity serves as a primary or major tenant whose presence helps attract other tenants or users to a shared space or platform.
-
D.
hasTenantSince
Indicates that an entity has been the tenant of another entity starting from a specified point in time.
-
E.
numberOfAnchorTenants
Indicates the count of primary or major tenants associated with a given property or location.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.