Triple

T7317749
Position Surface form Disambiguated ID Type / Status
Subject Salih E168456 entity
Predicate threatenedPunishmentFor P3012 FINISHED
Object harming the she-camel 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: harming the she-camel | Statement: [Salih, threatenedPunishmentFor, harming the she-camel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: threatenedPunishmentFor
Context triple: [Salih, threatenedPunishmentFor, harming the she-camel]
  • A. punishedBy
    Indicates that an entity receives punishment administered by another entity.
  • B. hasPunishment chosen
    Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
  • C. aimOfPunishment
    Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
  • D. reasonForPunishment
    Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
  • E. penaltyProvision
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef178b3081908cd0c62466069741 completed March 27, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69c6e7705f4881909793071dee50c557 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3:02 p.m.