Triple

T187487
Position Surface form Disambiguated ID Type / Status
Subject IMP E4013 entity
Predicate partOf P40 FINISHED
Object ARPANET infrastructure E1032 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: ARPANET infrastructure | Statement: [IMP, partOf, ARPANET infrastructure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARPANET infrastructure
Context triple: [IMP, partOf, ARPANET infrastructure]
  • A. ARPANET chosen
    ARPANET was the pioneering packet-switching network developed in the late 1960s that became the technical foundation of the modern Internet.
  • B. 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.
  • C. TCP/IP
    TCP/IP is the fundamental communication protocol suite that enables data transmission and networking across the internet and most modern computer networks.
  • D. Defense Data Network
    The Defense Data Network was a U.S. Department of Defense global computer network that succeeded ARPANET and supported secure military and government communications.
  • E. 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.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2594940e48190a3d8efbce46241c3 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc6bfdc819091478e5102a3d64f completed Feb. 28, 2026, 3:41 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.