Triple

T7427210
Position Surface form Disambiguated ID Type / Status
Subject Chinese Super League E171398 entity
Predicate shortName P43 FINISHED
Object CSL
CSL is the commonly used abbreviation for the Chinese Super League, the top tier of professional football in China.
E663631 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: CSL | Statement: [Chinese Super League, shortName, CSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSL
Context triple: [Chinese Super League, shortName, CSL]
  • A. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • B. CSH
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • C. LCSA
    LCSA is a major U.S. federal law that modernized and strengthened the regulation of chemicals under the Toxic Substances Control Act to better protect human health and the environment.
  • D. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • E. CSM
    CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
  • 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: CSL
Triple: [Chinese Super League, shortName, CSL]
Generated description
CSL is the commonly used abbreviation for the Chinese Super League, the top tier of professional football in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CSL
Target entity description: CSL is the commonly used abbreviation for the Chinese Super League, the top tier of professional football in China.
  • A. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • B. CSH
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • C. LCSA
    LCSA is a major U.S. federal law that modernized and strengthened the regulation of chemicals under the Toxic Substances Control Act to better protect human health and the environment.
  • D. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • E. CSM
    CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3055b7881908269ab909c5a85b5 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f0e28e88190805108dff740dda3 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c8200c52c8819083b14e8d768fc9be completed March 28, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69c82084879c8190ae60b99f702dc058 completed March 28, 2026, 6:40 p.m.
Created at: March 27, 2026, 3:12 p.m.