Triple

T8110691
Position Surface form Disambiguated ID Type / Status
Subject Quebec Pension Plan E189339 entity
Predicate hasAbbreviation P43 FINISHED
Object QPP
QPP is a public pension program in Quebec that provides retirement, disability, and survivor benefits to eligible workers and their families.
 E712743 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: QPP | Statement: [Quebec Pension Plan, hasAbbreviation, QPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QPP
Context triple: [Quebec Pension Plan, hasAbbreviation, QPP]
  • A. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • B. VVPQ
    VVPQ is the ICAO airport code assigned to Phu Quoc International Airport in Vietnam.
  • C. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • D. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • E. PPS
    PPS is the commonly used abbreviation for Parliamentary Private Secretaries, who are junior MPs acting as unpaid assistants and political aides to government ministers in the UK.
  • 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: QPP
Triple: [Quebec Pension Plan, hasAbbreviation, QPP]
Generated description
QPP is a public pension program in Quebec that provides retirement, disability, and survivor benefits to eligible workers and their families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QPP
Target entity description: QPP is a public pension program in Quebec that provides retirement, disability, and survivor benefits to eligible workers and their families.
  • A. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • B. VVPQ
    VVPQ is the ICAO airport code assigned to Phu Quoc International Airport in Vietnam.
  • C. DPP
    DPP is the Maryland state agency responsible for supervising individuals on parole and probation and supporting their reintegration into the community.
  • D. DPP
    DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
  • E. PPS
    PPS is the commonly used abbreviation for Parliamentary Private Secretaries, who are junior MPs acting as unpaid assistants and political aides to government ministers in the UK.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc97781c0481909d21293633d111be completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.