Triple

T12424607
Position Surface form Disambiguated ID Type / Status
Subject UN Office of the Iraq Programme E296864 entity
Predicate alsoKnownAs P39 FINISHED
Object OIP
OIP is the acronym for the United Nations Office of the Iraq Programme, the UN body that administered the Oil-for-Food Programme for Iraq in the 1990s and early 2000s.
 E980544 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: OIP | Statement: [UN Office of the Iraq Programme, alsoKnownAs, OIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OIP
Context triple: [UN Office of the Iraq Programme, alsoKnownAs, OIP]
  • A. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • B. IMG
    IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
  • C. OPU
    OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
  • D. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • E. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • 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: OIP
Triple: [UN Office of the Iraq Programme, alsoKnownAs, OIP]
Generated description
OIP is the acronym for the United Nations Office of the Iraq Programme, the UN body that administered the Oil-for-Food Programme for Iraq in the 1990s and early 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OIP
Target entity description: OIP is the acronym for the United Nations Office of the Iraq Programme, the UN body that administered the Oil-for-Food Programme for Iraq in the 1990s and early 2000s.
  • A. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • B. IMG
    IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
  • C. OPU
    OPU is the central executive office that supports and coordinates the work of the President of Ukraine.
  • D. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • E. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349716fc8190997b54a50d29827a completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356ce3f4819087d1703db655cbb4 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.