Triple

T1267735
Position Surface form Disambiguated ID Type / Status
Subject Expert Infantryman Badge E15638 entity
Predicate confersReputation P11701 FINISHED
Object expert infantry soldier 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: expert infantry soldier | Statement: [Expert Infantryman Badge, confersReputation, expert infantry soldier]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: confersReputation
Context triple: [Expert Infantryman Badge, confersReputation, expert infantry soldier]
  • A. associatedWithReputation chosen
    Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
  • B. tacticalReputation
    Indicates the perceived level of skill, reliability, or effectiveness an entity has in planning and executing tactics within a given context.
  • C. championshipReputation
    Indicates the recognized status or esteem an entity holds based on its history of success or performance in championships or major competitive titles.
  • D. reputationBuiltFor
    Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
  • E. regionalReputation
    Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0396e048190b4e2d7aab19268b3 completed March 1, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69a4bede52a081909665d60acbe41d31 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.