Triple

T60963
Position Surface form Disambiguated ID Type / Status
Subject Bush v. Gore E1210 entity
Predicate precedentStatus P3138 FINISHED
Object binding precedent on federal equal protection analysis of recount procedures 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: binding precedent on federal equal protection analysis of recount procedures | Statement: [Bush v. Gore, precedentStatus, binding precedent on federal equal protection analysis of recount procedures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: precedentStatus
Context triple: [Bush v. Gore, precedentStatus, binding precedent on federal equal protection analysis of recount procedures]
  • A. precedentFor chosen
    Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
  • B. confersPrecedenceIn
    Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
  • C. status
    Indicates the current condition, state, or standing of an entity within a given context.
  • D. predecessor
    Indicates that one entity comes before another in an ordered sequence or succession.
  • E. hasLegalProceeding
    Indicates that there is a formal legal action, case, or proceeding involving the related entities.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a251a1b8ac8190b44be4c3c41e5681 completed Feb. 28, 2026, 2:23 a.m.
PD Predicate disambiguation batch_69a24ea0bec48190b2af1fb287e9e692 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.