Triple

T5093247
Position Surface form Disambiguated ID Type / Status
Subject Consumer Reports E114804 entity
Predicate abbreviation P43 FINISHED
Object CR
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
 E492041 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: CR | Statement: [Consumer Reports, abbreviation, CR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CR
Context triple: [Consumer Reports, abbreviation, CR]
  • A. CR
    CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • B. CR
    CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
  • C. CCR
    CCR is a leading academic journal published by the ACM SIGCOMM community that focuses on research and developments in computer networking and communication systems.
  • D. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • E. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • 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: CR
Triple: [Consumer Reports, abbreviation, CR]
Generated description
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CR
Target entity description: CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
  • A. CR
    CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
  • B. CR
    CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
  • C. CCR
    CCR is a leading academic journal published by the ACM SIGCOMM community that focuses on research and developments in computer networking and communication systems.
  • D. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • E. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14f097081908d835190f13796dd completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb202a8748190b677d7bcd2db66c8 completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb28cf7b881909d40b70a7fff5033 completed March 21, 2026, 3 p.m.
Created at: March 20, 2026, 1:40 p.m.