Triple

T456843
Position Surface form Disambiguated ID Type / Status
Subject Einsatzgruppen E7251 entity
Predicate partOf P40 FINISHED
Object SS E1506 NE 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: SS | Statement: [Einsatzgruppen, partOf, SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS
Context triple: [Einsatzgruppen, partOf, SS]
  • A. 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.
  • B. S
    S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
  • C. SSS
    SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa1616481909399f92551a0c9e3 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f56b3808190b34ddd3e60b84f85 completed March 1, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.