Triple

T19597265
Position Surface form Disambiguated ID Type / Status
Subject Pashupatastra E470377 entity
Predicate consequenceOfMisuse P21521 FINISHED
Object destruction of the wielder 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: destruction of the wielder | Statement: [Pashupatastra, consequenceOfMisuse, destruction of the wielder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceOfMisuse
Context triple: [Pashupatastra, consequenceOfMisuse, destruction of the wielder]
  • A. misuseCanConstitute chosen
    Indicates that improper or incorrect use of something can amount to, or be considered as, a particular offense, violation, or condition.
  • B. consequenceOfApplication
    Indicates that something occurs as a result or outcome of a particular application or use of something.
  • C. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. violationConsequences
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • E. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407b997881909762c8f919c9cdad completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.