Triple

T9489545
Position Surface form Disambiguated ID Type / Status
Subject Clemenceau E228849 entity
Predicate hullNumber P3152 FINISHED
Object R98
R98 is the hull number of the French aircraft carrier Clemenceau, a Cold War-era flagship of the French Navy.
 E801806 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: R98 | Statement: [Clemenceau, hullNumber, R98]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R98
Context triple: [Clemenceau, hullNumber, R98]
  • A. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • B. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • C. R9
    R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
  • D. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • E. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • 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: R98
Triple: [Clemenceau, hullNumber, R98]
Generated description
R98 is the hull number of the French aircraft carrier Clemenceau, a Cold War-era flagship of the French Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R98
Target entity description: R98 is the hull number of the French aircraft carrier Clemenceau, a Cold War-era flagship of the French Navy.
  • A. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • B. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • C. R9
    R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
  • D. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • E. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d202b748190b78e4e972b1ce08d completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:55 p.m.