Triple

T14276199
Position Surface form Disambiguated ID Type / Status
Subject trials of the Doctor E353921 entity
Predicate typicalCharge P71082 FINISHED
Object violation of Time Lord non-interference laws 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: violation of Time Lord non-interference laws | Statement: [trials of the Doctor, typicalCharge, violation of Time Lord non-interference laws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCharge
Context triple: [trials of the Doctor, typicalCharge, violation of Time Lord non-interference laws]
  • A. mainCharge
    Indicates that one charge in a set of legal accusations is designated as the primary or most significant offense.
  • B. chargeType chosen
    Indicates the category or nature of a charge applied in a transaction or interaction between entities (e.g., fee type, billing classification, or legal charge type).
  • C. centralCharge
    Indicates that an entity has a specific central charge value, typically quantifying a key parameter in a conformal or related physical or mathematical theory.
  • D. containsCharge
    Indicates that one entity includes, holds, or encompasses a specific charge associated with it.
  • E. hasCharge
    Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6583f0ec81909ebfc7a2c6351ff8 completed April 14, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69de2a88446481909cd526da97a3b70f completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:10 a.m.