Triple
T1769820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montana |
E38848
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Billings |
E45126
|
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: Billings | Statement: [Montana, largestCity, Billings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billings Context triple: [Montana, largestCity, Billings]
-
A.
Billings
chosen
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.
-
B.
Billings
Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
-
C.
Missoula
Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
-
D.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
-
E.
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.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648eb9488190b1be2d2b6d259634 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaceae088190a5ee93e6b46360cc |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 4, 2026, 7:31 p.m.