Triple

T35652913
Position Surface form Disambiguated ID Type / Status
Subject JTF-CS E1030200 entity
Predicate legalAuthorityFramework P33301 FINISHED
Object Defense Support of Civil Authorities (DSCA) guidelines 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: Defense Support of Civil Authorities (DSCA) guidelines | Statement: [JTF-CS, legalAuthorityFramework, Defense Support of Civil Authorities (DSCA) guidelines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalAuthorityFramework
Context triple: [JTF-CS, legalAuthorityFramework, Defense Support of Civil Authorities (DSCA) guidelines]
  • A. legalAuthorityIn
    Indicates that an entity holds official legal power, jurisdiction, or governing authority within a specified area or domain.
  • B. legalFrameworkStatus
    Indicates the current legal or regulatory standing or condition of a given framework within a specified jurisdiction or context.
  • C. countryLegalFramework
    Indicates the legal system, regulations, and institutional rules that govern actions and relationships within a given country.
  • D. previousLegalFramework
    Indicates that one legal framework preceded and was in effect before another legal framework in a given jurisdiction or context.
  • E. includesLegalFramework chosen
    Indicates that one entity encompasses, references, or incorporates a specific legal framework within its scope or content.
  • 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_69f76e0938088190a8f199631e97dec3 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffa15d53208190ab8574d6c7913e18 completed May 9, 2026, 9:04 p.m.
PD Predicate disambiguation batch_69ff9eee681c81909434e79c627cb528 completed May 9, 2026, 8:54 p.m.
Created at: May 3, 2026, 4:05 p.m.