Triple

T5259938
Position Surface form Disambiguated ID Type / Status
Subject Canis Major E118798 entity
Predicate abbreviation P43 FINISHED
Object CMa
CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
 E506482 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: CMa | Statement: [Canis Major, abbreviation, CMa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CMa
Context triple: [Canis Major, abbreviation, CMa]
  • A. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • B. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • C. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • D. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • E. CM
    CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
  • 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: CMa
Triple: [Canis Major, abbreviation, CMa]
Generated description
CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CMa
Target entity description: CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
  • A. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • B. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • C. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • D. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • E. CM
    CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bcced6881909bdb7ac5471a37fe completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe821e3c8190a03c8aa581cc23cf completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff56b42881909ff4f574ef87b693 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf00120fe88190817badb72977566e completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.