Triple

T10262948
Position Surface form Disambiguated ID Type / Status
Subject U.S. EPA Office of Pollution Prevention and Toxics E240644 entity
Predicate hasAbbreviation P43 FINISHED
Object OPPT
OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
 E851707 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: OPPT | Statement: [U.S. EPA Office of Pollution Prevention and Toxics, hasAbbreviation, OPPT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPPT
Context triple: [U.S. EPA Office of Pollution Prevention and Toxics, hasAbbreviation, OPPT]
  • 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. Opp
    Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
  • C. OPST
    OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
  • 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. 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.
  • 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: OPPT
Triple: [U.S. EPA Office of Pollution Prevention and Toxics, hasAbbreviation, OPPT]
Generated description
OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPPT
Target entity description: OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
  • 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. Opp
    Opp is a small city in southern Alabama known for its local festivals and role as a regional service and retail center for surrounding rural communities.
  • C. OPST
    OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25dac34819099dbfad7f80507bb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f81dd481909022efde8fc46e68 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcabb5a08190a26c068163f48878 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd7212b88190b410b8e1cc6f56fd completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:33 a.m.