Triple

T4351011
Position Surface form Disambiguated ID Type / Status
Subject lua (Hawaiian martial art) E98025 entity
Predicate trainingGoal P12747 FINISHED
Object battlefield effectiveness 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: battlefield effectiveness | Statement: [lua (Hawaiian martial art), trainingGoal, battlefield effectiveness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingGoal
Context triple: [lua (Hawaiian martial art), trainingGoal, battlefield effectiveness]
  • A. trainingObjective chosen
    Indicates the goal or target outcome that a training process is designed to achieve.
  • B. goalNumber
    Indicates that an entity is associated with a specific target or objective quantified as a number.
  • C. goals
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • D. goalHorizon
    Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
  • E. legacyGoal
    Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351a99788819080b13a20124e49a0 completed March 12, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69b34f51ed7c8190b7bf5f44b56b730d completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:15 p.m.