Triple

T2217978
Position Surface form Disambiguated ID Type / Status
Subject Central Saint Martins E48075 entity
Predicate shortName P43 FINISHED
Object CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
E243998 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: CSM | Statement: [Central Saint Martins, shortName, CSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSM
Context triple: [Central Saint Martins, shortName, CSM]
  • A. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • B. CSC
    CSC is the commonly used abbreviation for the Connecticut Science Center, a hands-on science museum and educational facility in Hartford, Connecticut.
  • C. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • E. CSME
    CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
  • 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: CSM
Triple: [Central Saint Martins, shortName, CSM]
Generated description
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CSM
Target entity description: CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • A. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • B. CSC
    CSC is the commonly used abbreviation for the Connecticut Science Center, a hands-on science museum and educational facility in Hartford, Connecticut.
  • C. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • E. CSME
    CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc010bd4c8190ace293b37eac1de5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655b369c8190a5d12b87401534d7 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65d419048190ad723d21ab7f1cab completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae666e71908190b50be2cac5bdfa28 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.