Triple

T4475285
Position Surface form Disambiguated ID Type / Status
Subject Chief of the Defence Staff (United Kingdom) E99992 entity
Predicate rankTypicallyHeld P7007 FINISHED
Object four-star officer 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: four-star officer | Statement: [Chief of the Defence Staff (United Kingdom), rankTypicallyHeld, four-star officer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankTypicallyHeld
Context triple: [Chief of the Defence Staff (United Kingdom), rankTypicallyHeld, four-star officer]
  • A. typicallyHoldsRank chosen
    Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
  • B. rankHeldByPost
    Indicates that a particular organizational post or position is associated with, or carries, a specific rank.
  • C. rankGrade
    Indicates the grade or level assigned to an entity within a ranking or evaluation system.
  • D. rankStatus
    Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
  • E. rankRange
    Indicates that an entity’s rank falls within a specified minimum and maximum range.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35728ed508190ba0e882fa62d8848 completed March 13, 2026, 12:15 a.m.
PD Predicate disambiguation batch_69b3563d63008190816e37027e761375 completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:35 p.m.