Triple

T38330477
Position Surface form Disambiguated ID Type / Status
Subject Harry DeWolf-class E1037807 entity
Predicate numberOfShipsForRCN P39920 FINISHED
Object 6 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: 6 | Statement: [Harry DeWolf-class, numberOfShipsForRCN, 6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfShipsForRCN
Context triple: [Harry DeWolf-class, numberOfShipsForRCN, 6]
  • A. numberOfShips chosen
    Indicates the quantity of ships associated with a given entity or situation.
  • B. countryNavalForce
    Indicates that a country possesses, controls, or is associated with a particular naval military force.
  • C. navalForceComposition
    Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
  • D. navalCountry
    Indicates that a country possesses or operates a navy, signifying its involvement in naval or maritime military activities.
  • E. navalArmament
    Indicates that one entity serves as the naval weaponry or sea-based military equipment of 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_69f76e20d65c81909619ac0dd85c56f0 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:30 p.m.