Triple

T7228784
Position Surface form Disambiguated ID Type / Status
Subject Arafura-class offshore patrol vessel E154849 entity
Predicate boatLaunchAndRecovery P43948 FINISHED
Object stern boat ramp 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: stern boat ramp | Statement: [Arafura-class offshore patrol vessel, boatLaunchAndRecovery, stern boat ramp]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: boatLaunchAndRecovery
Context triple: [Arafura-class offshore patrol vessel, boatLaunchAndRecovery, stern boat ramp]
  • A. aircraftLaunchAndRecovery
    Indicates the relationship in which an aircraft is launched from and/or recovered by a platform, facility, or system.
  • B. tookOnWater
    Indicates that an entity began to fill or absorb water, typically in an unintended or problematic way (e.g., a vessel leaking or flooding).
  • C. boatingAllowed
    Indicates that operating or using boats is permitted in the specified area or context.
  • D. launchAndRecovery chosen
    Indicates a relationship where one entity is responsible for both deploying (launching) another entity into operation and subsequently retrieving (recovering) it afterward.
  • E. marineAttraction
    Indicates a relationship where one entity serves as a point of interest or entertainment specifically related to marine life or the marine environment for another entity.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9e0ba248190a57a3b4fa8b858c7 completed March 27, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69c6e761b7fc8190857794d78af1b468 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:54 p.m.