Triple

T16185355
Position Surface form Disambiguated ID Type / Status
Subject Office of Pharmaceutical Quality E392785 entity
Predicate abbreviation P43 FINISHED
Object OPQ
OPQ is a division of the U.S. Food and Drug Administration responsible for ensuring the quality, safety, and effectiveness of pharmaceutical products throughout their lifecycle.
 E1199971 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: OPQ | Statement: [Office of Pharmaceutical Quality, abbreviation, OPQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPQ
Context triple: [Office of Pharmaceutical Quality, abbreviation, OPQ]
  • A. OPQT
    OPQT is the ICAO airport code assigned to Quetta International Airport in Quetta, Pakistan.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. OPPT
    OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
  • 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: OPQ
Triple: [Office of Pharmaceutical Quality, abbreviation, OPQ]
Generated description
OPQ is a division of the U.S. Food and Drug Administration responsible for ensuring the quality, safety, and effectiveness of pharmaceutical products throughout their lifecycle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPQ
Target entity description: OPQ is a division of the U.S. Food and Drug Administration responsible for ensuring the quality, safety, and effectiveness of pharmaceutical products throughout their lifecycle.
  • A. OPQT
    OPQT is the ICAO airport code assigned to Quetta International Airport in Quetta, Pakistan.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. OPPT
    OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22060dcf88190b7c662946a5f0191 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0550b48190ac84946b7254552b completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0000a8a74c8190925c4140cf4a8520 completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0004ceda8c8190a358f58f76116a7f completed May 10, 2026, 4:08 a.m.
Created at: April 10, 2026, 5:02 a.m.