Triple

T5479023
Position Surface form Disambiguated ID Type / Status
Subject IP E123425 entity
Predicate usedOn P2367 FINISHED
Object Internet E356 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: Internet | Statement: [IP, usedOn, Internet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet
Context triple: [IP, usedOn, Internet]
  • A. The Internet
    The Internet is an American R&B and neo-soul band known for their smooth, genre-blending sound and association with the Odd Future collective.
  • B. the internet chosen
    The internet is a global network of interconnected computers and servers that enables worldwide communication, information sharing, and access to digital services.
  • C. Internet Area
    The Internet Area is a division of the IETF responsible for protocols and technologies that enable and manage core Internet infrastructure and routing.
  • D. Network
    Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
  • E. INETER
    INETER is Nicaragua’s national geophysical and meteorological institute responsible for monitoring volcanic, seismic, and other natural hazards across the country.
  • 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_69bf70d919e08190a4fae4359cf8c951 completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:09 p.m.