Triple

T9029172
Position Surface form Disambiguated ID Type / Status
Subject WorldCom, Inc. E216124 entity
Predicate facedAllegation P83746 FINISHED
Object fraudulent accounting practices 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: fraudulent accounting practices | Statement: [WorldCom, Inc., facedAllegation, fraudulent accounting practices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facedAllegation
Context triple: [WorldCom, Inc., facedAllegation, fraudulent accounting practices]
  • A. hasAllegationsOf chosen
    Indicates that one entity is accused or suspected of engaging in certain actions, behaviors, or misconduct, but without implying that these accusations are proven.
  • B. allegedAction
    Indicates that an action is claimed or asserted to have occurred, typically without being proven or confirmed.
  • C. deniedAllegations
    Indicates that one party has rejected or refuted specific accusations made against them.
  • D. allegedStatus
    Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
  • E. allegedVictimOf
    Indicates that one entity is claimed or reported to have been harmed, wronged, or victimized by another entity, without asserting that the claim is proven.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69cc5ee132f08190940749c7c522e4c1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:08 p.m.