Triple

T5479019
Position Surface form Disambiguated ID Type / Status
Subject IP E123425 entity
Predicate partOf P40 FINISHED
Object TCP/IP model E1063 NE 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: TCP/IP model | Statement: [IP, partOf, TCP/IP model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCP/IP model
Context triple: [IP, partOf, TCP/IP model]
  • A. TCP/IP chosen
    TCP/IP is the fundamental communication protocol suite that enables data transmission and networking across the internet and most modern computer networks.
  • B. OSI protocol suite
    The OSI protocol suite is a conceptual networking framework that defines a seven-layer model for how different communication protocols interact to enable data exchange across networks.
  • C. Internet Protocol
    Internet Protocol is the core networking protocol that defines how data packets are addressed and routed across interconnected computer networks, forming the foundation of the modern internet.
  • D. Transmission Control Protocol
    Transmission Control Protocol is a core internet communication protocol that provides reliable, ordered, and error-checked delivery of data between applications over IP networks.
  • E. OSI
    OSI is a nonprofit organization that promotes and protects open-source software by maintaining the Open Source Definition and approving open-source licenses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9247a16c8190ac5a02534da48853 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a001c081909b0e9f1b36fd10db completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.