Triple

T6975535
Position Surface form Disambiguated ID Type / Status
Subject Mobile Reserve Fleet E161706 entity
Predicate typeOfVesselIncluded P11978 FINISHED
Object cargo ships 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: cargo ships | Statement: [Mobile Reserve Fleet, typeOfVesselIncluded, cargo ships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfVesselIncluded
Context triple: [Mobile Reserve Fleet, typeOfVesselIncluded, cargo ships]
  • A. hasVesselType chosen
    Indicates that an entity is associated with or classified by a specific type of vessel (e.g., ship, boat, or container).
  • B. hasVessel
    Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
  • C. usesVesselType
    Indicates that an entity performs an activity or operation by employing a specific type or category of vessel.
  • D. hullType
    Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
  • E. shipTypeInvolved
    Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3d3ab08190b107f3229c357dd2 completed March 27, 2026, 7:32 p.m.
PD Predicate disambiguation batch_69c6d7c262508190a7708b3d9cf23d7c completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:31 p.m.