Triple

T6363450
Position Surface form Disambiguated ID Type / Status
Subject Reclamation E143167 entity
Predicate abbreviation P43 FINISHED
Object BOR
BOR is the commonly used abbreviation for the United States Bureau of Reclamation, a federal agency that manages water resources and hydroelectric power projects in the American West.
 E588133 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: BOR | Statement: [Reclamation, abbreviation, BOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BOR
Context triple: [Reclamation, abbreviation, BOR]
  • A. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • B. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • C. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • D. BORL
    BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
  • E. BER
    BER is a U.S. Department of Energy research program that advances fundamental science on biological systems and environmental processes to address energy and climate challenges.
  • 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: BOR
Triple: [Reclamation, abbreviation, BOR]
Generated description
BOR is the commonly used abbreviation for the United States Bureau of Reclamation, a federal agency that manages water resources and hydroelectric power projects in the American West.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BOR
Target entity description: BOR is the commonly used abbreviation for the United States Bureau of Reclamation, a federal agency that manages water resources and hydroelectric power projects in the American West.
  • A. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • B. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • C. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • D. BORL
    BORL was the stock ticker symbol for Borland, a software company known for its development tools and programming environments such as Turbo Pascal and Delphi.
  • E. BER
    BER is a U.S. Department of Energy research program that advances fundamental science on biological systems and environmental processes to address energy and climate challenges.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680d51a4819098a6bcd3dfd73be4 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62f2abb7481909a8d6b6a3b07db37 completed March 27, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69c62fcd18a0819089fa5f5912f432aa completed March 27, 2026, 7:20 a.m.
Created at: March 22, 2026, 4:32 p.m.