Triple

T22811975
Position Surface form Disambiguated ID Type / Status
Subject AS Montferrand E564703 entity
Predicate shortName P43 FINISHED
Object ASM
ASM is a French rugby union club based in Clermont-Ferrand, best known for competing at the top level of domestic and European competitions.
 E1555453 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: ASM | Statement: [AS Montferrand, shortName, ASM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASM
Context triple: [AS Montferrand, shortName, ASM]
  • A. ASM
    ASM is a popular Java library for reading, modifying, and generating Java bytecode, widely used in tools such as compilers, profilers, and frameworks.
  • B. ASM
    ASM is a secondary scientific instrument associated with the Ginga X-ray astronomy satellite, used for monitoring and analyzing X-ray sources in space.
  • C. ASM
    ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
  • D. ASM
    ASM is the abbreviation for the American Society of Mammalogists, a professional organization dedicated to the study and conservation of mammals.
  • E. ASM
    ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
  • 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: ASM
Triple: [AS Montferrand, shortName, ASM]
Generated description
ASM is a French rugby union club based in Clermont-Ferrand, best known for competing at the top level of domestic and European competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASM
Target entity description: ASM is a French rugby union club based in Clermont-Ferrand, best known for competing at the top level of domestic and European competitions.
  • A. ASM
    ASM is the commonly used abbreviation for AS Monaco FC, a professional football club based in Monaco that competes in the French football league system.
  • B. ASM
    ASM is the abbreviation for the American Society of Mammalogists, a professional organization dedicated to the study and conservation of mammals.
  • C. ASM
    ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
  • D. ASM
    ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
  • E. ASM
    ASM is a popular Java library for reading, modifying, and generating Java bytecode, widely used in tools such as compilers, profilers, and frameworks.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d60f5948190b624b2dab04cbe63 completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9ea1d6308190bf37f8a37d5be5f6 completed May 18, 2026, 11:20 p.m.
NEDg Description generation batch_6a0ba0aa6b04819097d75601cb25c6ef completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba149b79c8190abfd2b285f8e3e3c completed May 18, 2026, 11:31 p.m.
Created at: April 17, 2026, 3:32 p.m.