Triple

T8470813
Position Surface form Disambiguated ID Type / Status
Subject Datagram Delivery Protocol E200274 entity
Predicate headerFields P3703 FINISHED
Object source address 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: source address | Statement: [Datagram Delivery Protocol, headerFields, source address]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: headerFields
Context triple: [Datagram Delivery Protocol, headerFields, source address]
  • A. headerField chosen
    Indicates that one entity is a specific header field (such as a name–value pair) belonging to or defined within another entity, typically a message, request, or document header.
  • B. headerSize
    Indicates the size or length of a header associated with an entity or data structure.
  • C. holderField
    Indicates that a specified field or attribute belongs to, is maintained by, or is associated with a particular holder entity.
  • D. bearerField
    Indicates that one entity serves as the bearer or holder of a specific field, attribute, or property associated with another entity.
  • E. headerFile
    Indicates that one file serves as a header file for another file, typically declaring interfaces, types, or constants used by that other file.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f234c481909534de6fd702f4cf completed March 31, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69cbd10072cc819084be1ed9ac7ebe9d completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:11 p.m.