Triple

T1869467
Position Surface form Disambiguated ID Type / Status
Subject RFC 7950 E39000 entity
Predicate workingGroup P9939 FINISHED
Object NETMOD E208067 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: NETMOD | Statement: [RFC 7950, workingGroup, NETMOD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NETMOD
Context triple: [RFC 7950, workingGroup, NETMOD]
  • A. NETMOD chosen
    NETMOD is an IETF working group focused on developing and standardizing data modeling languages and related mechanisms for network configuration and management.
  • B. Netphen
    Netphen is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its surrounding forests and role as a local administrative and economic center.
  • C. MODS
    MODS (Metadata Object Description Schema) is a bibliographic metadata standard developed by the Library of Congress that provides a rich, XML-based format for describing digital and print resources.
  • D. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • E. MOD
    MOD is the commonly used abbreviation for Japan’s Ministry of Defense, the government body responsible for the country’s national defense and Self-Defense Forces.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0b7e4548190a3761133fbbb7b81 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5163d88190a41df4c8f4e196f0 completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:34 p.m.