Triple

T3408585
Position Surface form Disambiguated ID Type / Status
Subject Royal Navy Reserve E71835 entity
Predicate abbreviation P43 FINISHED
Object RNR
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
E355338 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: RNR | Statement: [Royal Navy Reserve, abbreviation, RNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RNR
Context triple: [Royal Navy Reserve, abbreviation, RNR]
  • A. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • B. NR
    NR is the commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • C. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • D. NRU
    NRU is the three-letter ISO 3166-1 alpha-3 country code assigned to the Pacific island nation of Nauru.
  • E. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • 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: RNR
Triple: [Royal Navy Reserve, abbreviation, RNR]
Generated description
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RNR
Target entity description: RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • A. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • B. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • C. NR
    NR is the commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • D. NRU
    NRU is the three-letter ISO 3166-1 alpha-3 country code assigned to the Pacific island nation of Nauru.
  • E. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdaf06c8190a8102a4e3c728066 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.