Triple
T10534175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanger Outlets Sevierville |
E248519
|
entity |
| Predicate | typicalTenantType |
P18037
|
FINISHED |
| Object | apparel retailers |
—
|
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 retailers | Statement: [Tanger Outlets Sevierville, typicalTenantType, apparel retailers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTenantType Context triple: [Tanger Outlets Sevierville, typicalTenantType, apparel retailers]
-
A.
tenantType
chosen
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
B.
mainTenant
Indicates that the subject is the primary tenant responsible for a property or rental agreement, as opposed to a subtenant or secondary occupant.
-
C.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
-
D.
notableTenant
Indicates that an entity is or has been a significant or noteworthy occupant or renter of a particular place or property.
-
E.
typicalTenantContribution
Indicates the usual or standard amount that tenants are expected to contribute (e.g., toward rent, costs, or shared expenses) in a given rental arrangement.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a1a754c8190b53f2df28a1dfef1 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:31 p.m.