Triple

T8009150
Position Surface form Disambiguated ID Type / Status
Subject RFC 4033 E186439 entity
Predicate area P175 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: [RFC 4033, area, Internet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet
Context triple: [RFC 4033, area, 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6f76408190a1312369521a187a completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe26a07c8190af48bb9189b12a44 completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:19 p.m.