Triple

T3175915
Position Surface form Disambiguated ID Type / Status
Subject German Ordnungspolizei E66463 entity
Predicate alsoKnownAs P39 FINISHED
Object Orpo
Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
 E334565 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: Orpo | Statement: [German Ordnungspolizei, alsoKnownAs, Orpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orpo
Context triple: [German Ordnungspolizei, alsoKnownAs, Orpo]
  • A. Armas
    Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
  • B. Guni
    Guni is a biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
  • C. Aspis
    Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
  • D. Termunten
    Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
  • E. Aasrud
    Aasrud is a Norwegian surname most notably borne by politician Rigmor Aasrud.
  • 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: Orpo
Triple: [German Ordnungspolizei, alsoKnownAs, Orpo]
Generated description
Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orpo
Target entity description: Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
  • A. Armas
    Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
  • B. Guni
    Guni is a biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
  • C. Aspis
    Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
  • D. Termunten
    Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
  • E. Aasrud
    Aasrud is a Norwegian surname most notably borne by politician Rigmor Aasrud.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada671e6848190a683eec1519b9268 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f16e60819091cbdb76130ecc40 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b23699a6fc81908b15c7e23340f476 completed March 12, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_69b23a51a21c819083a4986e5b3ac63d completed March 12, 2026, 4 a.m.
Created at: March 8, 2026, 3:06 p.m.