Triple

T29182675
Position Surface form Disambiguated ID Type / Status
Subject Arcade (Vs. Castlevania) E739784 entity
Predicate subWeapon P6067 FINISHED
Object dagger 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: dagger | Statement: [Arcade (Vs. Castlevania), subWeapon, dagger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subWeapon
Context triple: [Arcade (Vs. Castlevania), subWeapon, dagger]
  • A. secondaryArmament chosen
    Indicates that one entity serves as a secondary or auxiliary weapon system associated with another primary platform or armament.
  • B. secondaryWeaponTechnology
    Indicates that one entity serves as a secondary or backup weapon system or technology associated with another entity.
  • C. specialWeapon
    Indicates that an entity is a weapon with unique, enhanced, or otherwise exceptional properties compared to standard weapons.
  • D. formerWeapon
    Indicates that an entity once functioned as a weapon but no longer serves in that role.
  • E. usedWeapon
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • 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_69f07cb74c2c8190ad396487fcb4fde6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66384473c81909fb9ff9037f56b67 completed May 2, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69f65c24f8b48190af81b575f3c15be5 completed May 2, 2026, 8:18 p.m.
Created at: April 28, 2026, 11:58 a.m.