Triple

T2201251
Position Surface form Disambiguated ID Type / Status
Subject Pawnee E50493 entity
Predicate historicalEnemy P18970 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: [Pawnee, historicalEnemy, Cheyenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheyenne
Context triple: [Pawnee, historicalEnemy, 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. Billings
    Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
  • D. Billings
    Billings is the largest city in the U.S. state of Montana and a major economic and cultural hub for the surrounding Mountain States region.
  • E. Billings
    Billings is the middle name of Henry Billings Brown, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the late 19th and early 20th centuries.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa1b41c8190b0f7467d0dcdfbcd completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65473fd48190b58dba4205776096 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.