Triple

T1816090
Position Surface form Disambiguated ID Type / Status
Subject Aktion T4 E40438 entity
Predicate alternativeName P39 FINISHED
Object T4 program
The T4 program was a Nazi German euthanasia initiative that systematically murdered people with disabilities and others deemed "unfit" under the regime’s racial hygiene policies.
 E204466 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: T4 program | Statement: [Aktion T4, alternativeName, T4 program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T4 program
Context triple: [Aktion T4, alternativeName, T4 program]
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. T5
    T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
  • C. T5
    T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
  • D. TET
    TET is a Ukrainian television channel known for broadcasting entertainment, comedy, and family-oriented programming.
  • E. TCC
    TCC is the abbreviated name for the Technical Cooperation Committee, a body typically responsible for overseeing and guiding international technical assistance and capacity-building activities.
  • 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: T4 program
Triple: [Aktion T4, alternativeName, T4 program]
Generated description
The T4 program was a Nazi German euthanasia initiative that systematically murdered people with disabilities and others deemed "unfit" under the regime’s racial hygiene policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T4 program
Target entity description: The T4 program was a Nazi German euthanasia initiative that systematically murdered people with disabilities and others deemed "unfit" under the regime’s racial hygiene policies.
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. T5
    T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
  • C. T5
    T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
  • D. TET
    TET is a Ukrainian television channel known for broadcasting entertainment, comedy, and family-oriented programming.
  • E. TCC
    TCC is the abbreviated name for the Technical Cooperation Committee, a body typically responsible for overseeing and guiding international technical assistance and capacity-building activities.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f614888190a475f7df627d5f0a completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc2b4d8a0819080ff41cf73417276 completed March 8, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69adc38732d8819092e0ac76354f08c1 completed March 8, 2026, 6:44 p.m.
Created at: March 4, 2026, 7:32 p.m.