Triple

T25842442
Position Surface form Disambiguated ID Type / Status
Subject Armidale-class patrol boat E650971 entity
Predicate hasShipInClass P160292 FINISHED
Object HMAS Albany (ACPB 84)
HMAS Albany (ACPB 84) is a Royal Australian Navy patrol vessel used primarily for coastal surveillance, border protection, and maritime security operations.
 E1741105 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 Albany (ACPB 84) | Statement: [Armidale-class patrol boat, hasShipInClass, HMAS Albany (ACPB 84)]
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 Albany (ACPB 84)
Triple: [Armidale-class patrol boat, hasShipInClass, HMAS Albany (ACPB 84)]
Generated description
HMAS Albany (ACPB 84) is a Royal Australian Navy patrol vessel used primarily for coastal surveillance, border protection, and maritime security operations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasShipInClass
Context triple: [Armidale-class patrol boat, hasShipInClass, HMAS Albany (ACPB 84)]
  • 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_69f6135293908190809e255bf6334760 completed May 2, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a120915df4c819095496676b27bdc33 completed May 23, 2026, 8:07 p.m.
NEDg Description generation batch_6a120a567424819083cc2364aa6ec9da completed May 23, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_6a120b5561cc81909195b6d74ec74b50 completed May 23, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69f611a72780819082f44e66ca2c6ac9 completed May 2, 2026, 3 p.m.
Created at: April 22, 2026, 7:50 a.m.