Triple
T9800219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trizec Properties |
E237816
|
entity |
| Predicate | targetTenantProfile |
P18037
|
FINISHED |
| Object | large national and multinational companies |
—
|
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: large national and multinational companies | Statement: [Trizec Properties, targetTenantProfile, large national and multinational companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetTenantProfile Context triple: [Trizec Properties, targetTenantProfile, large national and multinational companies]
-
A.
mainTenant
Indicates that the subject is the primary tenant responsible for a property or rental agreement, as opposed to a subtenant or secondary occupant.
-
B.
tenantedBy
Indicates that a property, land, or space is occupied or leased by a specific tenant.
-
C.
notableTenant
Indicates that an entity is or has been a significant or noteworthy occupant or renter of a particular place or property.
-
D.
primaryTenantFrom
Indicates that one entity serves as the main or principal tenant associated with another entity (such as a property or lease).
-
E.
tenantType
chosen
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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda628fe0081909d2fbac3bd56ee84 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.