Triple

T13464299
Position Surface form Disambiguated ID Type / Status
Subject Makassarese E311454 entity
Predicate maritimeSkill P49505 FINISHED
Object navigation 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: navigation | Statement: [Makassarese, maritimeSkill, navigation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritimeSkill
Context triple: [Makassarese, maritimeSkill, navigation]
  • A. maritimeFunction
    Indicates a relationship where an entity serves a role, purpose, or operational function specifically within maritime contexts such as sea transport, navigation, or marine activities.
  • B. navalDiscipline
    Indicates the enforcement or maintenance of rules, order, and conduct within a naval or maritime context.
  • C. maritimeActivity chosen
    Indicates activities, operations, or behaviors that take place at sea or are directly related to maritime environments and navigation.
  • D. maritimeUsage
    Indicates the extent to which something is used for or involved in maritime activities, such as sea transport, navigation, or ocean-related operations.
  • E. maritimeDomain
    Indicates a relationship or activity that occurs within, affects, or is specifically associated with the maritime domain (seas, oceans, and related maritime operations).
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0f1830819085700b4521e44678 completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:41 p.m.