Triple

T23077901
Position Surface form Disambiguated ID Type / Status
Subject Louisiana Public Service Commissioner E575380 entity
Predicate canSeekReelection P8212 FINISHED
Object true 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: true | Statement: [Louisiana Public Service Commissioner, canSeekReelection, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canSeekReelection
Context triple: [Louisiana Public Service Commissioner, canSeekReelection, true]
  • A. canBeReelected chosen
    Indicates that an individual currently holding an office or position is eligible to be chosen again for the same role in a subsequent election.
  • B. eligibleForReelectionAfter
    Indicates that an individual is permitted, under the relevant rules or laws, to run again for a position or office after a specified time or condition is met.
  • C. canElect
    Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
  • D. allowsCandidacyTo
    Indicates that one entity grants another entity the right or eligibility to stand as a candidate for a position, role, or office.
  • E. triggerForElection
    Indicates that one event, condition, or action serves as the cause or initiating factor for an election to be held.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c6455f48190b84eaecdead0d963 completed April 29, 2026, 4:43 a.m.
PD Predicate disambiguation batch_69ef89e5ce748190b2c3ac3843484127 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:56 p.m.