Triple

T53942
Position Surface form Disambiguated ID Type / Status
Subject TCP/IP E1063 entity
Predicate includesProtocol P1393 FINISHED
Object IP 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: IP | Statement: [TCP/IP, includesProtocol, IP]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesProtocol
Context triple: [TCP/IP, includesProtocol, IP]
  • A. usesProtocolSuite
    Indicates that one entity operates or communicates by employing the set of communication protocols defined by another entity’s protocol suite.
  • B. protocol
    Indicates that one entity defines or follows a specific set of rules or procedures governing how it interacts or communicates with another entity.
  • C. includes chosen
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • D. includesLanguage
    Indicates that one entity contains, supports, or makes use of a specified language as part of its content, functionality, or representation.
  • E. appliesTo
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b3a9e848190b80de3c858678b3a completed Feb. 28, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69a24ac52fb08190aa7c38f83434f795 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.