Triple

T18676697
Position Surface form Disambiguated ID Type / Status
Subject Georgia Frontiere E456619 entity
Predicate shareOfOwnership P99020 FINISHED
Object approximately 70 percent of the Rams franchise 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: approximately 70 percent of the Rams franchise | Statement: [Georgia Frontiere, shareOfOwnership, approximately 70 percent of the Rams franchise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareOfOwnership
Context triple: [Georgia Frontiere, shareOfOwnership, approximately 70 percent of the Rams franchise]
  • A. sharesOwnershipWith
    Indicates that two or more entities jointly hold ownership rights or stakes in the same asset, resource, or organization.
  • B. privateShareOfStock
    Indicates that one entity privately transfers or allocates shares of stock to another entity, outside of a public market transaction.
  • C. ownershipStructure
    Indicates how ownership or control is distributed among entities within an organization or asset.
  • D. ownershipType
    Indicates the specific nature or category of the ownership relationship that one entity holds over another.
  • E. ownershipStake chosen
    Indicates that one entity holds a partial or full ownership interest or equity stake in another entity.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b5a52c81908a71ac86544fb6aa completed April 19, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69e478db7a248190a8c6584673773923 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:48 a.m.