Triple

T491389
Position Surface form Disambiguated ID Type / Status
Subject USS Maryland (BB-46) E9997 entity
Predicate shipClass P3141 FINISHED
Object Colorado class E33761 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: Colorado class | Statement: [USS Maryland (BB-46), shipClass, Colorado class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colorado class
Context triple: [USS Maryland (BB-46), shipClass, Colorado class]
  • A. Colorado class chosen
    The Colorado class was a group of U.S. Navy battleships built in the early 20th century, notable for their heavy 16-inch guns and service during World War II.
  • B. Colorado
    Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
  • C. Arizona
    Arizona is a southwestern U.S. state known for its desert climate, the Grand Canyon, and major cities like Phoenix and Tucson.
  • D. New Mexico
    New Mexico is a southwestern U.S. state known for its diverse landscapes, rich Native American and Hispanic cultural heritage, and historic cities like Santa Fe and Albuquerque.
  • E. State of Durango
    The State of Durango is a large, landlocked federal entity in north-central Mexico known for its mountainous terrain, mining history, and role as a key link between central Mexico and the northern border regions.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0f959b481908f9f28fb96695924 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4778034fc8190bedcc537fed5cef9 completed March 1, 2026, 5:29 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.