Triple

T685587
Position Surface form Disambiguated ID Type / Status
Subject Supreme People's Court of China E13276 entity
Predicate termLengthOfPresident P540 FINISHED
Object five years 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: five years | Statement: [Supreme People's Court of China, termLengthOfPresident, five years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termLengthOfPresident
Context triple: [Supreme People's Court of China, termLengthOfPresident, five years]
  • A. presidentialTerm
    Indicates the period of time during which an individual officially serves as president of a country or organization.
  • B. termLength chosen
    Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
  • C. termCountAsPresident
    Indicates the number of terms an individual has served in the role of president.
  • D. presidentSince
    Indicates that one entity has held the office of president of another entity starting from a specified point in time.
  • E. presidentElect
    Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0924dec8190bbbd2bb244f85211 completed March 1, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69a49d1f0ccc819088c1527beabcb718 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.