Triple

T5773993
Position Surface form Disambiguated ID Type / Status
Subject Royal Naval Division E127394 entity
Predicate alsoKnownAs P39 FINISHED
Object RND
RND is the commonly used abbreviation for the Royal Naval Division, a British naval infantry formation that fought as soldiers on land during World War I.
 E544988 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: RND | Statement: [Royal Naval Division, alsoKnownAs, RND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RND
Context triple: [Royal Naval Division, alsoKnownAs, RND]
  • A. 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.
  • B. RNO
    RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • C. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. RDM
    RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
  • 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: RND
Triple: [Royal Naval Division, alsoKnownAs, RND]
Generated description
RND is the commonly used abbreviation for the Royal Naval Division, a British naval infantry formation that fought as soldiers on land during World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RND
Target entity description: RND is the commonly used abbreviation for the Royal Naval Division, a British naval infantry formation that fought as soldiers on land during World War I.
  • A. 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.
  • B. RNO
    RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • C. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. RDM
    RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029af681081908276e99c568561ce completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e6bf6348190b0ba46253585c7d9 completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08d6c7e9c8190ab38d9918cc67c2a completed March 23, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c08decf8108190b6b5fe8efd41387c completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:50 p.m.