Triple

T25842441
Position Surface form Disambiguated ID Type / Status
Subject Armidale-class patrol boat E650971 entity
Predicate hasShipInClass P160292 FINISHED
Object HMAS Bundaberg (ACPB 91)
HMAS Bundaberg (ACPB 91) was a Royal Australian Navy patrol boat used primarily for border protection, fisheries patrols, and maritime security operations around Australia’s northern waters.
 E1738314 NE FINISHED

How this triple was built (3 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: HMAS Bundaberg (ACPB 91) | Statement: [Armidale-class patrol boat, hasShipInClass, HMAS Bundaberg (ACPB 91)]
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: HMAS Bundaberg (ACPB 91)
Triple: [Armidale-class patrol boat, hasShipInClass, HMAS Bundaberg (ACPB 91)]
Generated description
HMAS Bundaberg (ACPB 91) was a Royal Australian Navy patrol boat used primarily for border protection, fisheries patrols, and maritime security operations around Australia’s northern waters.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasShipInClass
Context triple: [Armidale-class patrol boat, hasShipInClass, HMAS Bundaberg (ACPB 91)]
  • A. hasShipInClass chosen
    Indicates that an entity possesses or includes at least one ship that belongs to a specified ship class.
  • B. hasShipCategory
    Indicates that an entity is associated with or classified under a particular category or type of ship.
  • C. hasShipRole
    Indicates that an entity holds or is assigned a specific role or function on a ship.
  • D. supportsClassOfShip
    Indicates that one entity is capable of accommodating, servicing, or otherwise functionally supporting a specified class of ship.
  • E. hasShipTypeCharacteristic
    Indicates that a ship possesses a specific characteristic or property related to its type.
  • F. None of above.

Provenance (6 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_69e7ab38086081908f3a8e7e0c6efd83 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60c698ae48190871cd445422bad91 completed May 2, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe449f6881909fd44c32aa09131d completed May 23, 2026, 7:21 p.m.
NEDg Description generation batch_6a11fef3277c81909157e7d7caa3245b completed May 23, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a11fffd6b1081909ed36e05ffdaed73 completed May 23, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f60b874cc88190a487230abb69efea completed May 2, 2026, 2:34 p.m.
Created at: April 22, 2026, 7:50 a.m.