Triple

T38643054
Position Surface form Disambiguated ID Type / Status
Subject Trap Master E938650 entity
Predicate hasWeaponCharacteristic P76424 FINISHED
Object large size 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: large size | Statement: [Trap Master, hasWeaponCharacteristic, large size]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWeaponCharacteristic
Context triple: [Trap Master, hasWeaponCharacteristic, large size]
  • A. hasArmourCharacteristic
    Indicates that an entity possesses a specific armour-related property or feature.
  • B. hasWeaponOption
    Indicates that an entity has a particular weapon available as a selectable or usable option.
  • C. hasWeaponType
    Indicates that an entity is associated with or equipped with a specific type or category of weapon.
  • D. hasHumanCharacteristic
    Indicates that an entity possesses a trait, quality, or behavior typically associated with humans.
  • E. weaponFeature chosen
    Indicates that one entity is a characteristic, attribute, or functional aspect of a 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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: May 3, 2026, 4:32 p.m.