Triple
T20781009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska–Wyoming border |
E511478
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Cheyenne, Wyoming |
—
|
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: Cheyenne, Wyoming | Statement: [Nebraska–Wyoming border, nearbyCity, Cheyenne, Wyoming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheyenne, Wyoming Context triple: [Nebraska–Wyoming border, nearbyCity, Cheyenne, Wyoming]
-
A.
Cheyenne
chosen
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
-
B.
Cheyenne
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.
-
C.
Cheyenne
Cheyenne is a Western film written by screenwriter James R. Webb.
-
D.
Cheyenne
Cheyenne is a charismatic outlaw and key supporting character in Sergio Leone’s classic Western film "Once Upon a Time in the West."
-
E.
Laramie, Wyoming
Laramie, Wyoming is a city in southeastern Wyoming known as the home of the University of Wyoming and a regional center for education, culture, and outdoor recreation.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c287b5288190823766fe59402d48 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:37 p.m.