Triple

T3053606
Position Surface form Disambiguated ID Type / Status
Subject Olympique de Marseille E60427 entity
Predicate shortName P43 FINISHED
Object OM
OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
E322406 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: OM | Statement: [Olympique de Marseille, shortName, OM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OM
Context triple: [Olympique de Marseille, shortName, OM]
  • A. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • B. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • C. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • D. Om
    Om is a sacred sound and spiritual symbol in Hinduism, representing the essence of ultimate reality and the universe.
  • E. OMO
    OMO is a globally recognized laundry detergent brand owned by Unilever, known for its stain-removal performance and family-oriented marketing.
  • 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: OM
Triple: [Olympique de Marseille, shortName, OM]
Generated description
OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OM
Target entity description: OM is the commonly used abbreviation for Olympique de Marseille, a major French professional football club based in Marseille.
  • A. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • B. OM
    OM is an American experimental rock band known for its hypnotic, drone-influenced sound and spiritually themed compositions.
  • C. OM
    OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
  • D. Om
    Om is a sacred sound and spiritual symbol in Hinduism, representing the essence of ultimate reality and the universe.
  • E. OMO
    OMO is a globally recognized laundry detergent brand owned by Unilever, known for its stain-removal performance and family-oriented marketing.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.