Triple

T21511477
Position Surface form Disambiguated ID Type / Status
Subject Shopping centers Cencosud E530733 entity
Predicate typicalAnchorTenant P11754 FINISHED
Object supermarket 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: supermarket | Statement: [Shopping centers Cencosud, typicalAnchorTenant, supermarket]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAnchorTenant
Context triple: [Shopping centers Cencosud, typicalAnchorTenant, supermarket]
  • A. anchorTenant chosen
    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.
  • B. originalAnchorTenant
    Indicates that an entity was among the first primary or major tenants occupying a property or development when it initially opened or was established.
  • 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. notableTenant
    Indicates that an entity is or has been a significant or noteworthy occupant or renter of a particular place or property.
  • E. alsoTenant
    Indicates that two or more entities share the status of being tenants, typically occupying the same property or 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea863b18819080e3ff249b10ec28 completed April 23, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:25 p.m.