Triple

T10069122
Position Surface form Disambiguated ID Type / Status
Subject RFC 2060 E213172 entity
Predicate series P1761 FINISHED
Object RFC E5627 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: RFC | Statement: [RFC 2060, series, RFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RFC
Context triple: [RFC 2060, series, RFC]
  • A. RFC
    RFC is the commonly used abbreviation for Reading Football Club, a professional English football team based in Reading, Berkshire.
  • B. RFC
    RFC is the common abbreviation for the Richmond Football Club, a professional Australian rules football team based in Melbourne that competes in the Australian Football League (AFL).
  • C. RFC
    RFC is the common abbreviation for Rangers Football Club, a professional football team based in Glasgow, Scotland.
  • D. RFCs chosen
    RFCs (Requests for Comments) are a series of technical and organizational documents that define and standardize protocols, procedures, and policies for the Internet and related networks.
  • E. RFC 1
    RFC 1 is the first Request for Comments document, published in 1969, which laid the groundwork for the development of the ARPANET and the modern Internet protocol standards process.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a96fc888190aec7cd364a0d7fb1 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.