Triple

T882767
Position Surface form Disambiguated ID Type / Status
Subject Reich Main Security Office E19062 entity
Predicate hasPart P35 FINISHED
Object Amt I
Amt I was the personnel office of Nazi Germany’s Reich Main Security Office (RSHA), responsible for administration and staffing of its security and police apparatus.
 E103645 NE FINISHED

How this triple was built (4 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: Amt I | Statement: [Reich Main Security Office, hasPart, Amt I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amt I
Context triple: [Reich Main Security Office, hasPart, Amt I]
  • A. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • B. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • C. Allfunds Bank
    Allfunds Bank is a leading global wealthtech platform that provides fund distribution and related services to financial institutions.
  • D. IOU
    IOU is the commonly used abbreviation for the International Ornithologists' Union, a global organization dedicated to the scientific study and classification of birds.
  • E. AMRO
    AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amt I
Triple: [Reich Main Security Office, hasPart, Amt I]
Generated description
Amt I was the personnel office of Nazi Germany’s Reich Main Security Office (RSHA), responsible for administration and staffing of its security and police apparatus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amt I
Target entity description: Amt I was the personnel office of Nazi Germany’s Reich Main Security Office (RSHA), responsible for administration and staffing of its security and police apparatus.
  • A. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • B. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • C. Allfunds Bank
    Allfunds Bank is a leading global wealthtech platform that provides fund distribution and related services to financial institutions.
  • D. IOU
    IOU is the commonly used abbreviation for the International Ornithologists' Union, a global organization dedicated to the scientific study and classification of birds.
  • E. AMRO
    AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • F. None of above. chosen

Provenance (5 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85883c481909261bde7fdebcde1 completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b95117e881908efe83c0f8b685fe completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9a6edd48190a1feff7e887f76ba completed March 4, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:39 p.m.