Triple

T22062004
Position Surface form Disambiguated ID Type / Status
Subject RFC 2766 E545175 entity
Predicate workingGroup P9939 FINISHED
Object NGTRANS NE NERFINISHED

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: NGTRANS | Statement: [RFC 2766, workingGroup, NGTRANS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NGTRANS
Context triple: [RFC 2766, workingGroup, NGTRANS]
  • A. NGTRANS chosen
    NGTRANS was an IETF working group focused on developing mechanisms and strategies for transitioning the Internet from IPv4 to IPv6.
  • B. GTrans
    GTrans is a public bus transit system serving the city of Gardena and surrounding areas in Los Angeles County, California.
  • C. VTrans
    VTrans is the state government agency responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation.
  • D. NMT
    NMT is a science and engineering-focused public research university located in Socorro, New Mexico, known for its strong programs in mining, engineering, and the physical sciences.
  • E. NGTE
    NGTE is the ICAO airport code for Tabiteuea Airport, a regional airfield serving Tabiteuea in Kiribati.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285d5e508190b3124a70fe55b32e completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.