Triple

T2803448
Position Surface form Disambiguated ID Type / Status
Subject Quebec E53997 entity
Predicate ISOCode P208 FINISHED
Object CA-QC
CA-QC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Quebec.
E300476 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: CA-QC | Statement: [Quebec, ISOCode, CA-QC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA-QC
Context triple: [Quebec, ISOCode, CA-QC]
  • A. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • B. QC
    QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
  • C. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • D. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • E. QAA
    QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
  • 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: CA-QC
Triple: [Quebec, ISOCode, CA-QC]
Generated description
CA-QC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Quebec.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA-QC
Target entity description: CA-QC is the ISO 3166-2 subdivision code that uniquely identifies the Canadian province of Quebec.
  • A. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • B. QC
    QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
  • C. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • D. EQA
    EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
  • E. QAA
    QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc671964c81908cff1cfbd70c3786 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afcb9f73588190852ec35db9d9a7fd completed March 10, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69afcc0ddc188190a0d79974701556dd completed March 10, 2026, 7:45 a.m.
Created at: March 6, 2026, 9:59 p.m.