Triple

T11323902
Position Surface form Disambiguated ID Type / Status
Subject Into That Darkness E268158 entity
Predicate hasSubjectOrganization P10218 FINISHED
Object SS E1506 NE FINISHED

How this triple was built (3 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: SS | Statement: [Into That Darkness, hasSubjectOrganization, SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS
Context triple: [Into That Darkness, hasSubjectOrganization, SS]
  • A. SS
    SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
  • B. SS
    SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
  • C. SS
    SS is the two-letter ISO 3166-1 alpha-2 country code assigned to South Sudan.
  • D. SS
    SS is a post-nominal abbreviation used by recipients of the U.S. military’s Silver Star Medal, one of the nation’s highest awards for valor in combat.
  • E. SS chosen
    The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectOrganization
Context triple: [Into That Darkness, hasSubjectOrganization, SS]
  • A. subjectOrganization chosen
    Indicates that one entity serves as the organization to which another entity (such as a person, work, or activity) is affiliated or belongs.
  • B. hasOrganizationFor
    Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
  • C. hasSupervisingOrganization
    Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
  • D. hasResidentOrganization
    Indicates that an organization is based in, operates from, or maintains a primary presence within a particular place or facility.
  • E. hasOrganizationalComponent
    Indicates that one entity includes, comprises, or is associated with another entity as a structural or functional part of an organization.
  • F. None of above.

Provenance (4 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69d787ad575081908274280bf75d95fd completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.