Triple

T475701
Position Surface form Disambiguated ID Type / Status
Subject Foreign Intelligence Surveillance Court E9055 entity
Predicate proceedingsCharacteristic P662 FINISHED
Object classified 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: classified | Statement: [Foreign Intelligence Surveillance Court, proceedingsCharacteristic, classified]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proceedingsCharacteristic
Context triple: [Foreign Intelligence Surveillance Court, proceedingsCharacteristic, classified]
  • A. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • B. parallelConference
    Indicates that two or more conferences occur at the same time or overlap in schedule, running in parallel to each other.
  • C. conference
    Indicates that an entity organizes, hosts, or is associated with a formal meeting or event where participants gather to discuss specific topics or share information.
  • D. conference1
    Indicates a relationship where an entity is associated with, participates in, or is characterized as a specific conference event or instance.
  • E. conferenceCounterpart
    Indicates that two entities are corresponding participants or roles in the same conference or meeting, positioned as counterparts to each other.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f03b5e5081908ee3dba9d19a6871 completed Feb. 28, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69a2edeed31881908cf43beed410572d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.