Triple

T28717755
Position Surface form Disambiguated ID Type / Status
Subject John Martorano E730007 entity
Predicate regionOfCriminalActivity P45967 FINISHED
Object New England 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: New England | Statement: [John Martorano, regionOfCriminalActivity, New England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionOfCriminalActivity
Context triple: [John Martorano, regionOfCriminalActivity, New England]
  • A. regionOfCrimes chosen
    Indicates the geographic area or jurisdiction in which the crimes occurred or are attributed to an entity.
  • B. country of criminal activity
    Indicates the country in which the criminal activity took place or was primarily carried out.
  • C. scaleOfCriminalActivity
    Indicates the relative extent or magnitude of involvement in criminal activity associated with an entity or event.
  • D. hasCriminalJurisdictionOver
    Indicates that one authority or legal body holds the power to investigate, prosecute, and adjudicate criminal offenses committed within a specified scope or territory in relation to another entity.
  • E. isCriminalizedIn
    Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
  • 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_69f043e7d5a4819094b18aca10b1e024 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
Created at: April 28, 2026, 5:51 a.m.