Triple

T25842448
Position Surface form Disambiguated ID Type / Status
Subject Armidale-class patrol boat E650971 entity
Predicate hasShipInClass P160292 FINISHED
Object HMAS Larrakia (ACPB 84 II / ACPB 84-class member)
HMAS Larrakia (ACPB 84 II) is a Royal Australian Navy patrol vessel designed for coastal surveillance, border protection, and maritime security operations around Australia’s northern approaches.
E1696870 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 Larrakia (ACPB 84 II / ACPB 84-class member) | Statement: [Armidale-class patrol boat, hasShipInClass, HMAS Larrakia (ACPB 84 II / ACPB 84-class member)]
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 Larrakia (ACPB 84 II / ACPB 84-class member)
Triple: [Armidale-class patrol boat, hasShipInClass, HMAS Larrakia (ACPB 84 II / ACPB 84-class member)]
Generated description
HMAS Larrakia (ACPB 84 II) is a Royal Australian Navy patrol vessel designed for coastal surveillance, border protection, and maritime security operations around Australia’s northern approaches.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShipInClass
Context triple: [Armidale-class patrol boat, hasShipInClass, HMAS Larrakia (ACPB 84 II / ACPB 84-class member)]
  • 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_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da324794819098bd5bc0e18e16c1 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dadc94ac819093dcd582156e6705 completed May 22, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a10db3bac4c81908662fb96783d2612 completed May 22, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 22, 2026, 7:50 a.m.