Triple

T31104905
Position Surface form Disambiguated ID Type / Status
Subject Swordmaster of Ginaz E792767 entity
Predicate weaponFocus P121492 FINISHED
Object swords 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: swords | Statement: [Swordmaster of Ginaz, weaponFocus, swords]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: weaponFocus
Context triple: [Swordmaster of Ginaz, weaponFocus, swords]
  • A. weaponControl
    Indicates that one entity has authority over, access to, or the ability to direct the use of a weapon associated with another entity.
  • B. weapon
    Indicates that one entity is used as a weapon by, or serves as the weapon of, another entity.
  • C. weaponPreference chosen
    Indicates a relationship where an entity favors or typically uses a particular type of weapon over others.
  • D. weaponDiscipline
    Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
  • E. weaponControlMethod
    Indicates how a weapon is operated, activated, or controlled in order to perform its intended function.
  • 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_69f224cfd5d881908ec6447bc321cd58 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c234d648190a243fb2b107136a9 completed May 3, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69f69665cd9c819088c388fc82fec42e completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 9:03 p.m.