Triple
T169883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Country Club Plaza |
E3095
|
entity |
| Predicate | hasTypeOfTenant |
P3277
|
FINISHED |
| Object | national retail chains |
—
|
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: national retail chains | Statement: [Country Club Plaza, hasTypeOfTenant, national retail chains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTenant Context triple: [Country Club Plaza, hasTypeOfTenant, national retail chains]
-
A.
hasTenants
chosen
Indicates that an entity occupies or rents space from another entity as its tenant.
-
B.
hasTenantSince
Indicates that an entity has been the tenant of another entity starting from a specified point in time.
-
C.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
D.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
E.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b82bdc81908ebd50fb05d511df |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25665f5b8819096ca3e084faf976e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.