Triple

T16143096
Position Surface form Disambiguated ID Type / Status
Subject ISO 3166-2:CR E391710 entity
Predicate firstPart P30245 FINISHED
Object CR E93079 NE FINISHED

How this triple was built (2 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: [ISO 3166-2:CR, firstPart, CR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CR
Context triple: [ISO 3166-2:CR, firstPart, CR]
  • A. CR chosen
    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. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d91925c81909839a4e2f189d23b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a59c0481908eb346efaf10a0f6 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.