Triple

T2338480
Position Surface form Disambiguated ID Type / Status
Subject National Assembly of Quebec E44366 entity
Predicate hasAcronym P43 FINISHED
Object ANQ
ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
 E258967 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: ANQ | Statement: [National Assembly of Quebec, hasAcronym, ANQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANQ
Context triple: [National Assembly of Quebec, hasAcronym, ANQ]
  • A. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • B. ANLE
    ANLE is the North American Academy of the Spanish Language, an institution dedicated to studying, preserving, and promoting the correct use of Spanish in the United States.
  • C. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • D. QAN
    QAN is the Australian Securities Exchange (ASX) stock ticker for Qantas Airways Limited, Australia’s flagship airline.
  • E. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • 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: ANQ
Triple: [National Assembly of Quebec, hasAcronym, ANQ]
Generated description
ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANQ
Target entity description: ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
  • A. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • B. ANLE
    ANLE is the North American Academy of the Spanish Language, an institution dedicated to studying, preserving, and promoting the correct use of Spanish in the United States.
  • C. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • D. QAN
    QAN is the Australian Securities Exchange (ASX) stock ticker for Qantas Airways Limited, Australia’s flagship airline.
  • E. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc690fff08190a107f9431d6b923a completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961d890c8190aa39fb4d30b38e19 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae9a035b70819096f2d556fb14313b completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9af22c688190b1c8bb169f5658ca completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:51 p.m.