Triple

T36937357
Position Surface form Disambiguated ID Type / Status
Subject Kino der Toten E913654 entity
Predicate hasWallWeapon P166460 FINISHED
Object M14 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: M14 | Statement: [Kino der Toten, hasWallWeapon, M14]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWallWeapon
Context triple: [Kino der Toten, hasWallWeapon, M14]
  • A. hasWeaponType
    Indicates that an entity is associated with or equipped with a specific type or category of weapon.
  • B. hasHumanBuiltWeapon
    Indicates that an entity possesses, controls, or is equipped with a weapon that has been constructed or manufactured by humans.
  • C. hasWeaponSpawn
    Indicates that a location, object, or entity serves as a spawn point where weapons can appear or be generated.
  • D. hasWeaponOption chosen
    Indicates that an entity has a particular weapon available as a selectable or usable option.
  • E. hasKillerWeapon
    Indicates that a particular weapon was used by an entity to commit a killing.
  • 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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
Created at: May 3, 2026, 4:13 p.m.