Triple

T678314
Position Surface form Disambiguated ID Type / Status
Subject Montreal Canadiens E13125 entity
Predicate abbreviation P43 FINISHED
Object MON
MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
 E83462 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: MON | Statement: [Montreal Canadiens, abbreviation, MON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MON
Context triple: [Montreal Canadiens, abbreviation, MON]
  • A. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • B. Maand
    Maand is a classical folk music style from Rajasthan, India, known for its expressive melodies and royal courtly associations.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • E. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • 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: MON
Triple: [Montreal Canadiens, abbreviation, MON]
Generated description
MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MON
Target entity description: MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • A. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • B. Maand
    Maand is a classical folk music style from Rajasthan, India, known for its expressive melodies and royal courtly associations.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • E. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04e17088190943d54977eb3f83a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a38b188190802394a35c83b10b completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4482584819083b6b84ae8bf9b26 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4023288190b35ecf295eb58dc1 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.