Triple

T1292029
Position Surface form Disambiguated ID Type / Status
Subject Abbot Primate E27567 entity
Predicate mayBeReelected 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: [Abbot Primate, mayBeReelected, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeReelected
Context triple: [Abbot Primate, mayBeReelected, 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. allowsImmediatePresidentialReelection
    Indicates that a system, rule, or provision permits a president to run for and assume a consecutive subsequent term without any intervening gap in office.
  • C. couldElect
    Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
  • D. reElectionYear
    Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
  • E. mayHaveCastingVote
    Indicates that an entity is permitted to exercise a casting (tie-breaking) vote in a decision-making process.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d7d15081909d3af19b9297f1cc completed March 1, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69a4bee41ca08190b0ad6f7ea40c0b62 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.