Triple

T10363510
Position Surface form Disambiguated ID Type / Status
Subject Chart Supplement U.S. E244192 entity
Predicate abbreviation P43 FINISHED
Object CS U.S.
CS U.S. is the standard FAA publication providing detailed aeronautical information for pilots and aviation professionals across the United States.
E858074 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: CS U.S. | Statement: [Chart Supplement U.S., abbreviation, CS U.S.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CS U.S.
Context triple: [Chart Supplement U.S., abbreviation, CS U.S.]
  • A. USAT
    USAT is the commonly used abbreviation for USA Triathlon, the national governing body for triathlon and related multisport disciplines in the United States.
  • B. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • C. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • D. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
  • E. US
    The US, or United States, is a federal republic in North America composed of 50 states and known as one of the world’s largest economic and military powers.
  • 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: CS U.S.
Triple: [Chart Supplement U.S., abbreviation, CS U.S.]
Generated description
CS U.S. is the standard FAA publication providing detailed aeronautical information for pilots and aviation professionals across the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CS U.S.
Target entity description: CS U.S. is the standard FAA publication providing detailed aeronautical information for pilots and aviation professionals across the United States.
  • A. USAT
    USAT is the commonly used abbreviation for USA Triathlon, the national governing body for triathlon and related multisport disciplines in the United States.
  • B. USAB
    USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
  • C. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • D. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • E. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e963a6148190822951e72590b9df completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c2d2748190b871b928d5a094f8 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618fac288190a5da7549e5ccbdf0 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77060331c8190a773a5f9ffadf1d6 completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, noon