Triple

T18557720
Position Surface form Disambiguated ID Type / Status
Subject Royal Bahamas Defence Force E453548 entity
Predicate shortName P43 FINISHED
Object RBDF
RBDF is the acronym for the Royal Bahamas Defence Force, the maritime military organization responsible for defending and protecting the Commonwealth of The Bahamas.
 E1330191 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: RBDF | Statement: [Royal Bahamas Defence Force, shortName, RBDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RBDF
Context triple: [Royal Bahamas Defence Force, shortName, RBDF]
  • A. RDF
    RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
  • B. RDFS
    RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
  • C. RDFN
    RDFN is the stock ticker symbol for Redfin Corporation, a technology-powered real estate brokerage and home-search platform.
  • D. RBFA
    RBFA is the commonly used abbreviation for the Royal Belgian Football Association, the governing body of football in Belgium.
  • E. RB
    RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
  • 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: RBDF
Triple: [Royal Bahamas Defence Force, shortName, RBDF]
Generated description
RBDF is the acronym for the Royal Bahamas Defence Force, the maritime military organization responsible for defending and protecting the Commonwealth of The Bahamas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RBDF
Target entity description: RBDF is the acronym for the Royal Bahamas Defence Force, the maritime military organization responsible for defending and protecting the Commonwealth of The Bahamas.
  • A. RDF
    RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
  • B. RDFS
    RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
  • C. RDFN
    RDFN is the stock ticker symbol for Redfin Corporation, a technology-powered real estate brokerage and home-search platform.
  • D. RBFA
    RBFA is the commonly used abbreviation for the Royal Belgian Football Association, the governing body of football in Belgium.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53808028c8190825630525d84a29b completed April 19, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ae3eb148190a7e2583f26c1a0eb completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049c355cb08190a63addeba8293e5c completed May 13, 2026, 3:43 p.m.
NED2 Entity disambiguation (via description) batch_6a049cfa32588190a6e4abf128aced0a completed May 13, 2026, 3:47 p.m.
Created at: April 10, 2026, 11:41 a.m.