Triple

T13636387
Position Surface form Disambiguated ID Type / Status
Subject RFC 1010 E325858 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 1010, area, Internet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Internet
Context triple: [RFC 1010, 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af297008190b12256c936714213 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.