Triple

T12598176
Position Surface form Disambiguated ID Type / Status
Subject Alabama Open Meetings Act E300787 entity
Predicate protectsInterest P1040 FINISHED
Object public oversight of government 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: public oversight of government | Statement: [Alabama Open Meetings Act, protectsInterest, public oversight of government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protectsInterest
Context triple: [Alabama Open Meetings Act, protectsInterest, public oversight of government]
  • A. protectsRight
    Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
  • B. protects chosen
    Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
  • C. aimsToProtect
    Indicates an intention or purpose to safeguard or defend one entity, value, or condition from harm, risk, or undesirable outcomes.
  • D. representsInterestOf
    Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
  • E. protectedBy
    Indicates that one entity provides protection, defense, or safeguarding for 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:09 p.m.