Triple

T17518537
Position Surface form Disambiguated ID Type / Status
Subject Caldari State E426626 entity
Predicate notableWeaponSpecialization P22495 FINISHED
Object kinetic missiles 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: kinetic missiles | Statement: [Caldari State, notableWeaponSpecialization, kinetic missiles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableWeaponSpecialization
Context triple: [Caldari State, notableWeaponSpecialization, kinetic missiles]
  • A. weaponDiscipline chosen
    Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
  • B. specialWeapon
    Indicates that an entity is a weapon with unique, enhanced, or otherwise exceptional properties compared to standard weapons.
  • C. weaponForgedFor
    Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
  • D. craftSpecialty
    Indicates that an entity has a particular area of specialized skill or focus within a craft or artisanal practice.
  • E. dedicatedToWeapon
    Indicates that something is specifically assigned, reserved, or purposed for use with a particular weapon or type of weapon.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d0daa48190be69aff32b0324bc completed April 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69e3b4f8b9888190aa8a45e09acf4319 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.