Triple

T11861524
Position Surface form Disambiguated ID Type / Status
Subject Clean, Old-Fashioned Hate E282168 entity
Predicate stateBraggingRights P34 FINISHED
Object football supremacy in Georgia 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: football supremacy in Georgia | Statement: [Clean, Old-Fashioned Hate, stateBraggingRights, football supremacy in Georgia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateBraggingRights
Context triple: [Clean, Old-Fashioned Hate, stateBraggingRights, football supremacy in Georgia]
  • A. stateName
    Indicates that an entity is identified by or associated with a particular state’s name.
  • B. stateNickname
    Indicates that one entity is the commonly used nickname or informal moniker for a given state.
  • C. states chosen
    Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
  • D. stateRank
    Indicates the relative position or standing of an entity within a specific state-level ordering or hierarchy.
  • E. primaryStates
    Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69d8a2573dbc8190ab432e8e28fde6cc completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.