Triple

T21224622
Position Surface form Disambiguated ID Type / Status
Subject RFC 3551 E523057 entity
Predicate definesPayloadType P56536 FINISHED
Object LPC
LPC is an audio encoding format that uses linear predictive coding to efficiently compress speech for real-time communication applications.
 E1473304 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: LPC | Statement: [RFC 3551, definesPayloadType, LPC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LPC
Context triple: [RFC 3551, definesPayloadType, LPC]
  • A. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • B. LPC
    The Liberal Party of Canada is one of Canada's major federal political parties, traditionally centrist to center-left and historically one of the country's most electorally successful parties.
  • C. TLPC
    TLPC is the ICAO airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
  • D. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • E. LCC
    LCC is an abbreviation commonly used for the Launch Control Center, the facility responsible for overseeing and managing rocket launch operations.
  • 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: LPC
Triple: [RFC 3551, definesPayloadType, LPC]
Generated description
LPC is an audio encoding format that uses linear predictive coding to efficiently compress speech for real-time communication applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LPC
Target entity description: LPC is an audio encoding format that uses linear predictive coding to efficiently compress speech for real-time communication applications.
  • A. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • B. LPC
    The Liberal Party of Canada is one of Canada's major federal political parties, traditionally centrist to center-left and historically one of the country's most electorally successful parties.
  • C. TLPC
    TLPC is the ICAO airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
  • D. LCC
    LCC is the acronym for Lovelock Correctional Center, a state prison facility located in Nevada.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734aa82c4819086cef6364619b4e9 completed April 21, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986e6ca108190a08a088428817ae6 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0987dc2ba88190833f52eda39235f3 completed May 17, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a09885d7178819093003533c7785dd8 completed May 17, 2026, 9:20 a.m.
Created at: April 16, 2026, 3:44 p.m.