Triple

T2050902
Position Surface form Disambiguated ID Type / Status
Subject RFC 783 E45563 entity
Predicate definesMessageType P11573 FINISHED
Object RRQ
RRQ is the Read Request message type used in the Trivial File Transfer Protocol (TFTP) to initiate the transfer of a file from a server to a client.
E229034 NE FINISHED

How this triple was built (4 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: RRQ | Statement: [RFC 783, definesMessageType, RRQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RRQ
Context triple: [RFC 783, definesMessageType, RRQ]
  • A. QRL
    QRL is the Queensland Rugby League, the governing body responsible for administering and promoting rugby league in Queensland, Australia.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. RRF
    RRF is the acronym for the United States Ready Reserve Force, a fleet of government-owned cargo ships maintained for rapid activation in military and humanitarian sealift operations.
  • D. RQTC
    RQTC is the commonly used abbreviation for the Rose Quarter Transit Center, a major public transportation hub in Portland, Oregon.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RRQ
Triple: [RFC 783, definesMessageType, RRQ]
Generated description
RRQ is the Read Request message type used in the Trivial File Transfer Protocol (TFTP) to initiate the transfer of a file from a server to a client.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RRQ
Target entity description: RRQ is the Read Request message type used in the Trivial File Transfer Protocol (TFTP) to initiate the transfer of a file from a server to a client.
  • A. QRL
    QRL is the Queensland Rugby League, the governing body responsible for administering and promoting rugby league in Queensland, Australia.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. RRF
    RRF is the acronym for the United States Ready Reserve Force, a fleet of government-owned cargo ships maintained for rapid activation in military and humanitarian sealift operations.
  • D. RQTC
    RQTC is the commonly used abbreviation for the Rose Quarter Transit Center, a major public transportation hub in Portland, Oregon.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • F. None of above. chosen

Provenance (5 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20fbcd30819099499853d7dc2cc4 completed March 9, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ae216d450c8190ad2ecfdafa2354c7 completed March 9, 2026, 1:25 a.m.
Created at: March 4, 2026, 7:39 p.m.