Triple

T30657010
Position Surface form Disambiguated ID Type / Status
Subject Nidal Ayyad E780411 entity
Predicate penaltyJurisdiction P71039 FINISHED
Object United States federal government NE NERFINISHED

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: United States federal government | Statement: [Nidal Ayyad, penaltyJurisdiction, United States federal government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penaltyJurisdiction
Context triple: [Nidal Ayyad, penaltyJurisdiction, United States federal government]
  • A. awardingJurisdiction
    Indicates the authority or legal power granted to an entity to make decisions, judgments, or awards in a particular domain or case.
  • B. jurisdictionOfProsecution
    Indicates the legal authority or territory within which a prosecution is carried out or has the power to proceed.
  • C. deathPenaltyJurisdiction chosen
    Indicates that a given jurisdiction legally authorizes, applies, or recognizes the death penalty as a form of criminal punishment.
  • D. intendedJurisdiction
    Indicates the legal or geographic area over which something (such as a law, policy, or authority) is meant to have power or apply.
  • E. pardonJurisdiction
    Indicates the authority or legal power an entity has to grant pardons for offenses within a particular scope or jurisdiction.
  • 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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68ade49d48190a80182cf054bd154 completed May 2, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69f6861170d08190bb98be609d436f84 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:30 p.m.