Triple

T15421364
Position Surface form Disambiguated ID Type / Status
Subject Companhia Real dos Caminhos de Ferro Portugueses E369386 entity
Predicate hasAbbreviation P43 FINISHED
Object CR
CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
 E1155720 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: [Companhia Real dos Caminhos de Ferro Portugueses, hasAbbreviation, CR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CR
Context triple: [Companhia Real dos Caminhos de Ferro Portugueses, hasAbbreviation, 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. CR
    CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
  • D. CR
    CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
  • E. CRE
    CRE is the French Energy Regulatory Commission, the independent authority overseeing France’s electricity and gas markets.
  • 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: [Companhia Real dos Caminhos de Ferro Portugueses, hasAbbreviation, CR]
Generated description
CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CR
Target entity description: CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
  • 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. CR
    CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
  • D. CR
    CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
  • E. CRE
    CRE is the French Energy Regulatory Commission, the independent authority overseeing France’s electricity and gas markets.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebe7b1081908e6b9e6e128a8d5d completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7d02a08190a1e34e3a014acea9 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b3c563481908418411a977df343 completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1c0ad5448190903dc38f78512f3b completed May 9, 2026, 11:35 a.m.
Created at: April 10, 2026, 3:20 a.m.