Triple

T9727843
Position Surface form Disambiguated ID Type / Status
Subject HMS Vigilant E235660 entity
Predicate pennantNumber P3153 FINISHED
Object S30
S30 is the pennant number of HMS Vigilant, a Royal Navy Vanguard-class nuclear-powered ballistic missile submarine.
 E816629 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: S30 | Statement: [HMS Vigilant, pennantNumber, S30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S30
Context triple: [HMS Vigilant, pennantNumber, S30]
  • A. S33
    S33 is a UK postcode district in the Hope Valley area of Derbyshire, covering several rural villages within the Peak District National Park.
  • B. S3
    S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
  • C. S3
    S3 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving regional passenger traffic between the city and its surrounding areas.
  • D. S3
    S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
  • E. S3
    S3 is a line of the Munich S-Bahn suburban rail network that connects central Munich with its surrounding metropolitan area.
  • 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: S30
Triple: [HMS Vigilant, pennantNumber, S30]
Generated description
S30 is the pennant number of HMS Vigilant, a Royal Navy Vanguard-class nuclear-powered ballistic missile submarine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S30
Target entity description: S30 is the pennant number of HMS Vigilant, a Royal Navy Vanguard-class nuclear-powered ballistic missile submarine.
  • A. S33
    S33 is a UK postcode district in the Hope Valley area of Derbyshire, covering several rural villages within the Peak District National Park.
  • B. S3
    S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
  • C. S3
    S3 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving regional passenger traffic between the city and its surrounding areas.
  • D. S3
    S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
  • E. S3
    S3 is a line of the Munich S-Bahn suburban rail network that connects central Munich with its surrounding metropolitan area.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb208a48190864f8f085da83db7 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a1057e0c819096cc0984c9a83bb9 completed April 4, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1a184af3081908ce2932218244e7d completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 8:21 p.m.