Triple

T9087600
Position Surface form Disambiguated ID Type / Status
Subject College of Liberal Arts E217797 entity
Predicate alsoKnownAs P39 FINISHED
Object CLA
CLA is an abbreviation commonly used for a College of Liberal Arts, an academic division offering a broad education in the humanities, social sciences, and related fields.
 E777452 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: CLA | Statement: [College of Liberal Arts, alsoKnownAs, CLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLA
Context triple: [College of Liberal Arts, alsoKnownAs, CLA]
  • A. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • B. CLA
    CLA is a former national professional organization that represented and supported libraries and library workers across Canada.
  • C. CLS
    The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • D. CLS
    CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
  • E. CCA
    CCA is the ICAO airline designator used to identify Air China in international aviation operations.
  • 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: CLA
Triple: [College of Liberal Arts, alsoKnownAs, CLA]
Generated description
CLA is an abbreviation commonly used for a College of Liberal Arts, an academic division offering a broad education in the humanities, social sciences, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLA
Target entity description: CLA is an abbreviation commonly used for a College of Liberal Arts, an academic division offering a broad education in the humanities, social sciences, and related fields.
  • A. CLA
    The Mercedes-Benz CLA is a compact luxury four-door coupé known for its sleek styling, advanced technology, and entry-level positioning within the brand’s lineup.
  • B. CLA
    CLA is a former national professional organization that represented and supported libraries and library workers across Canada.
  • C. CLS
    The Mercedes-Benz CLS is a luxury four-door coupé known for pioneering the modern coupé-sedan design with sleek styling and high-end performance.
  • D. CLS
    CLS is a set of rules in the .NET framework that defines a subset of common language features to ensure interoperability among different .NET languages.
  • E. CCA
    CCA is the commonly used abbreviation for the Canada Council for the Arts, Canada’s national public arts funding and advocacy agency.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017d500988190a6abf633f2226858 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:13 p.m.