Triple

T13496668
Position Surface form Disambiguated ID Type / Status
Subject Public Law 107-71 E320778 entity
Predicate typeOfSecurityReform P98268 FINISHED
Object federal takeover of airport screening from private contractors 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: federal takeover of airport screening from private contractors | Statement: [Public Law 107-71, typeOfSecurityReform, federal takeover of airport screening from private contractors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSecurityReform
Context triple: [Public Law 107-71, typeOfSecurityReform, federal takeover of airport screening from private contractors]
  • A. typeOfReforms chosen
    Indicates the specific kinds or categories of reforms associated with an entity or situation.
  • B. subjectToReformBy
    Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
  • C. typeOfReformBody
    Indicates that one entity is a reform body that is classified as a specific type or category of reform body represented by the other entity.
  • D. isPartOfReform
    Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
  • E. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.