Triple

T5028205
Position Surface form Disambiguated ID Type / Status
Subject Chaffing and winnowing E113228 entity
Predicate receiverAction P60608 FINISHED
Object discard packets with invalid MACs 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: discard packets with invalid MACs | Statement: [Chaffing and winnowing, receiverAction, discard packets with invalid MACs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receiverAction
Context triple: [Chaffing and winnowing, receiverAction, discard packets with invalid MACs]
  • A. receiverType
    Indicates the category or classification of the entity that receives something (such as a message, resource, or action) in the relationship.
  • B. receives
    Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
  • C. recipientOf
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
  • D. reception
    Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
  • E. hasReception
    Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
  • F. None of above. chosen

Provenance (4 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738d852c8190a122354f1e1f5343 completed March 20, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69bd71509e9c8190a60c1d8d04936a12 completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd724ff2b4819091351cf80d3647a1 completed March 20, 2026, 4:14 p.m.
Created at: March 20, 2026, 1:36 p.m.