Triple

T10472873
Position Surface form Disambiguated ID Type / Status
Subject Hayfield Fight E246970 entity
Predicate belligerent P375 FINISHED
Object Cheyenne E53014 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: Cheyenne | Statement: [Hayfield Fight, belligerent, Cheyenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheyenne
Context triple: [Hayfield Fight, belligerent, Cheyenne]
  • A. Cheyenne chosen
    The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
  • B. Cheyenne
    Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
  • C. Laramie
    Laramie is a well-equipped, upscale trim level of the Ram 1500 pickup truck known for its added comfort, technology, and premium features.
  • D. Thermopolis
    Thermopolis is the surname of Mia Thermopolis, the fictional teenage princess protagonist of Meg Cabot’s "The Princess Diaries" series.
  • E. Capital do Oeste
    Capital do Oeste is a nickname for Mossoró, a major city in the western part of Rio Grande do Norte, Brazil, known for its regional economic and cultural importance.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094daac081908e0ba5e10c1bbb67 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90db8b1288190bb6bb064cb0724e0 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:20 p.m.