Triple

T21317196
Position Surface form Disambiguated ID Type / Status
Subject Günther Pancke E525502 entity
Predicate militaryBranch P253 FINISHED
Object SS 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: SS | Statement: [Günther Pancke, militaryBranch, SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS
Context triple: [Günther Pancke, militaryBranch, SS]
  • A. SS
    SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
  • B. SS
    SS is the two-letter ISO 3166-1 alpha-2 country code assigned to South Sudan.
  • C. SS
    SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
  • D. 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.
  • E. SS
    SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:34 p.m.