Triple

T8105216
Position Surface form Disambiguated ID Type / Status
Subject Judicial Branch of Argentina E189209 entity
Predicate judgeTenure P51579 FINISHED
Object life tenure until mandatory retirement age 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: life tenure until mandatory retirement age | Statement: [Judicial Branch of Argentina, judgeTenure, life tenure until mandatory retirement age]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: judgeTenure
Context triple: [Judicial Branch of Argentina, judgeTenure, life tenure until mandatory retirement age]
  • A. tenureType
    Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
  • B. judge
    Indicates that one entity evaluates, forms an opinion about, or makes a decision regarding another entity or situation.
  • C. tenureCharacteristic chosen
    Indicates a relationship where a specific attribute or quality characterizes the duration or conditions of someone’s or something’s tenure.
  • D. tenureDependsOn
    Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
  • E. endOfTenure
    Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42c0ce6481909887be82c8019383 completed March 31, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69cb04a2ed1c8190b73562321ad688bc completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:31 p.m.