Triple

T27331275
Position Surface form Disambiguated ID Type / Status
Subject HMS Vampire E689804 entity
Predicate RANRole P162194 FINISHED
Object convoy protection LITERAL FINISHED

How this triple was built (2 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: convoy protection | Statement: [HMS Vampire, RANRole, convoy protection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: RANRole
Context triple: [HMS Vampire, RANRole, convoy protection]
  • A. RANRole chosen
    Indicates that one entity holds or is assigned a specific role within a Royal Australian Navy (RAN) context in relation to another entity.
  • B. RAFRole
    Indicates that an entity holds or is assigned a specific role within the Royal Air Force.
  • C. CDCRole
    Indicates that one entity holds a specific role or function within a clinical data collection (CDC) context relative to another entity.
  • D. LadonRole
    Indicates a role or function that an entity holds specifically within the context of the Ladon system or framework.
  • E. regnalRole
    Indicates the specific official capacity or position a monarch holds or held during their reign.
  • F. None of above.

Provenance (3 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_69ef355d4cb08190ab032c0a2e7d3753 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62acb65fc8190848dbe87124811ae completed May 2, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 11:38 a.m.