Triple

T2621655
Position Surface form Disambiguated ID Type / Status
Subject Texas Supreme Court E59020 entity
Predicate hasMinimumQuorum P35990 FINISHED
Object 5 justices 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: 5 justices | Statement: [Texas Supreme Court, hasMinimumQuorum, 5 justices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMinimumQuorum
Context triple: [Texas Supreme Court, hasMinimumQuorum, 5 justices]
  • A. hasQuorum
    Indicates that the number of required participants or members is sufficient to validly conduct the specified activity or decision.
  • B. hasNumberOfVotingMembers chosen
    Indicates the specific count of individuals who hold voting rights within a given group or body.
  • C. hasMajorityOf
    Indicates that one entity possesses or controls more than half of the total quantity, members, or share of another entity.
  • D. hasMajority
    Indicates that one entity holds more than half of the total share, control, or quantity in relation to another entity or set.
  • E. hasMajorityIn
    Indicates that one entity holds more than half of the control, ownership, or representation within another entity or group.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd80f48888190afdf7e3e042157d0 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.