Triple

T35985418
Position Surface form Disambiguated ID Type / Status
Subject TLC: Tables, Ladders & Chairs E1040694 entity
Predicate usesRingObjectsAsWeapons P706 FINISHED
Object tables 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: tables | Statement: [TLC: Tables, Ladders & Chairs, usesRingObjectsAsWeapons, tables]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRingObjectsAsWeapons
Context triple: [TLC: Tables, Ladders & Chairs, usesRingObjectsAsWeapons, tables]
  • A. usedWeapon chosen
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • B. wieldedFrom
    Indicates that an entity uses or brandishes another entity as a weapon or tool originating from a particular source or location.
  • C. symbolicWeapon
    Indicates a relationship where something functions as a symbolic or emblematic weapon for an entity, representing power, threat, or conflict rather than serving as a literal physical armament.
  • D. oftenEquippedWith
    Indicates that one type of entity is frequently or typically outfitted, furnished, or supplied with another entity.
  • E. armedBy
    Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
  • 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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:07 p.m.