Triple

T19395704
Position Surface form Disambiguated ID Type / Status
Subject R Doradus E485182 entity
Predicate variableStarDesignation P57024 FINISHED
Object R Dor NE NERFINISHED

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: R Dor | Statement: [R Doradus, variableStarDesignation, R Dor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R Dor
Context triple: [R Doradus, variableStarDesignation, R Dor]
  • A. Dor chosen
    Dor is the standard astronomical abbreviation for Dorado, a southern constellation named after the dolphinfish and known for containing part of the Large Magellanic Cloud.
  • B. DOR
    DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
  • C. DOR
    DOR is the California state agency that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and retain employment.
  • D. DOR
    DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
  • E. DOR
    DOR is the vehicle registration code used on license plates for the English county of Dorset.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b4875ac8190a9c184c075b5db16 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.