Triple

T12240930
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Reno E291726 entity
Predicate abbreviation P43 FINISHED
Object DOR
DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
E972256 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: DOR | Statement: [Diocese of Reno, abbreviation, DOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOR
Context triple: [Diocese of Reno, abbreviation, DOR]
  • A. DOR
    DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
  • B. DOR
    DOR is the vehicle registration code used on license plates for the English county of Dorset.
  • 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 standard astronomical abbreviation for Dorado, a southern constellation named after the dolphinfish and known for containing part of the Large Magellanic Cloud.
  • E. DUR
    DUR is the IATA airport code for King Shaka International Airport serving Durban, South Africa.
  • 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: DOR
Triple: [Diocese of Reno, abbreviation, DOR]
Generated description
DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DOR
Target entity description: DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
  • A. DOR
    DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
  • B. DOR
    DOR is the vehicle registration code used on license plates for the English county of Dorset.
  • 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 standard astronomical abbreviation for Dorado, a southern constellation named after the dolphinfish and known for containing part of the Large Magellanic Cloud.
  • E. DUR
    DUR is the IATA airport code for King Shaka International Airport serving Durban, South Africa.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c6211448190af411f1b6f42c4b6 completed May 2, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69f60d1429f08190b7f3f053044f5a9e completed May 2, 2026, 2:41 p.m.
Created at: April 8, 2026, 9:51 p.m.