Triple

T37928591
Position Surface form Disambiguated ID Type / Status
Subject Lockout E946154 entity
Predicate hasPowerWeapon P6014 FINISHED
Object Sniper Rifle 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: Sniper Rifle | Statement: [Lockout, hasPowerWeapon, Sniper Rifle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowerWeapon
Context triple: [Lockout, hasPowerWeapon, Sniper Rifle]
  • A. hasEnergyWeapons
    Indicates that an entity is equipped with or uses weapons that emit or manipulate energy (such as lasers or plasma) rather than conventional physical projectiles.
  • B. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • C. hasWeaponType chosen
    Indicates that an entity is associated with or equipped with a specific type or category of weapon.
  • D. hasCannon
    Indicates that one entity is equipped with, contains, or features a cannon.
  • E. hasWeaponOption
    Indicates that an entity has a particular weapon available as a selectable or usable option.
  • 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_69f76ef3b7248190892fb9706423be7c completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fff9b126b4819085a4cf8791d388d1 completed May 10, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69fff8f913a881908d3b7e490d92631f completed May 10, 2026, 3:18 a.m.
Created at: May 3, 2026, 4:20 p.m.