Triple

T2606053
Position Surface form Disambiguated ID Type / Status
Subject Pension Credit E58660 entity
Predicate shortName P43 FINISHED
Object PC
PC is the commonly used abbreviation for Pension Credit, a UK welfare benefit that provides additional income to low-income pensioners.
E282250 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: PC | Statement: [Pension Credit, shortName, PC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PC
Context triple: [Pension Credit, shortName, PC]
  • A. PC
    PC is the common abbreviation for the Peace Corps, a U.S. government volunteer program that sends Americans abroad to support social and economic development.
  • B. PC
    PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
  • C. Computer
    Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
  • D. Windows PC
    A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
  • E. IBM PC
    The IBM PC is the original 1981 personal computer model from IBM that became a de facto industry standard and helped popularize home and business computing worldwide.
  • 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: PC
Triple: [Pension Credit, shortName, PC]
Generated description
PC is the commonly used abbreviation for Pension Credit, a UK welfare benefit that provides additional income to low-income pensioners.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PC
Target entity description: PC is the commonly used abbreviation for Pension Credit, a UK welfare benefit that provides additional income to low-income pensioners.
  • A. PC
    PC is the common abbreviation for the Peace Corps, a U.S. government volunteer program that sends Americans abroad to support social and economic development.
  • B. PC
    PC is the post-nominal abbreviation for "Privy Counsellor," denoting membership in the United Kingdom's Privy Council.
  • C. Computer
    Computer is a monthly peer-reviewed magazine published by the IEEE Computer Society that covers advances, trends, and research in computing and information technology.
  • D. Windows PC
    A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
  • E. IBM PC
    The IBM PC is the original 1981 personal computer model from IBM that became a de facto industry standard and helped popularize home and business computing worldwide.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd865c9908190be7e1b572a43972f completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83de926c81909e45160f9fc78799 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af8501adc4819092035d7e55524fc8 completed March 10, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69af85a6060c8190a80d5633d1b8a9d5 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.