Triple

T34508517
Position Surface form Disambiguated ID Type / Status
Subject Captain Tomeo Kaku E885952 entity
Predicate hasHullNumberCommanded P3152 FINISHED
Object CV-2 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: CV-2 | Statement: [Captain Tomeo Kaku, hasHullNumberCommanded, CV-2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHullNumberCommanded
Context triple: [Captain Tomeo Kaku, hasHullNumberCommanded, CV-2]
  • A. hasHullType
    Indicates that an entity possesses or is characterized by a specific type or form of hull.
  • B. usedHullNumberSystem
    Indicates that an entity employed a hull numbering system to identify or classify ships or vessels.
  • C. hullNumber chosen
    Indicates the unique identifying number assigned to the hull of a ship or vessel.
  • D. hasEngineeringHull
    Indicates that an entity possesses an engineering hull as a distinct structural or functional component.
  • E. associatedWithHullName
    Indicates a relationship where something is linked or connected to a specific hull name, typically identifying the vessel or structure it belongs to.
  • 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_69f349cc0220819081f154c6964f4dc2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7234bcaa48190ac970759d34e254a completed May 3, 2026, 10:28 a.m.
PD Predicate disambiguation batch_69f72155c48881909bd40b9aa3febd5a completed May 3, 2026, 10:20 a.m.
Created at: May 1, 2026, 2:01 a.m.