Triple

T18604874
Position Surface form Disambiguated ID Type / Status
Subject Dutch Men-of-War and Small Vessels in a Fresh Breeze E454713 entity
Predicate hasCompositionalFocus P132759 FINISHED
Object central warship 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: central warship | Statement: [Dutch Men-of-War and Small Vessels in a Fresh Breeze, hasCompositionalFocus, central warship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCompositionalFocus
Context triple: [Dutch Men-of-War and Small Vessels in a Fresh Breeze, hasCompositionalFocus, central warship]
  • A. hasProgramFocus
    Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
  • B. hasCharacterFocus
    Indicates that a work, scene, or segment centers primarily on a particular character’s experiences, perspective, or development.
  • C. hasCompositionType
    Indicates that one entity is composed of or formed by another entity in a specific structural or material way.
  • D. hasActingFocus
    Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
  • E. hasVisualFocus
    Indicates that one entity is currently directing its visual attention or gaze toward another entity.
  • F. None of above. chosen

Provenance (4 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e547535b8c8190ab5a8a92f15f2bcb completed April 19, 2026, 9:21 p.m.
PD Predicate disambiguation batch_69e478cf5e888190a0b1074b0c6525df completed April 19, 2026, 6:40 a.m.
PDg Predicate description generation batch_69e484121cd48190bf583b4c94636a30 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:45 a.m.