Triple

T10319997
Position Surface form Disambiguated ID Type / Status
Subject Terrorist Screening Database E242112 entity
Predicate relatedTo P37 FINISHED
Object Selectee List E424886 NE 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: Selectee List | Statement: [Terrorist Screening Database, relatedTo, Selectee List]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selectee List
Context triple: [Terrorist Screening Database, relatedTo, Selectee List]
  • A. Selectee List chosen
    The Selectee List is a U.S. government watchlist of air travelers who are subject to enhanced security screening before being allowed to board commercial flights.
  • B. MatSelect
    MatSelect is an Angular Material UI component that provides a styled, accessible dropdown selection control for Angular applications.
  • C. Lister
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • D. XSELECT
    XSELECT is a software tool used by astronomers to interactively select, filter, and analyze high-energy astrophysics data from various space-based observatories.
  • E. Entity List
    The Entity List is a U.S. government trade-restriction roster identifying foreign persons, companies, and organizations subject to specific export control licensing requirements for national security and foreign policy reasons.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cbbb548190b757ec5a02d60e5c completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75036ed008190aee48695ad7f857d completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:50 a.m.