Triple
T5220125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Montana |
E117849
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Bozeman
Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
|
E509500
|
NE FINISHED |
How this triple was built (4 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: Bozeman | Statement: [Western Montana, hasMajorCity, Bozeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bozeman Context triple: [Western Montana, hasMajorCity, Bozeman]
-
A.
Missoula
Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
-
B.
Billings
Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
-
C.
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.
-
D.
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.
-
E.
Hamilton, Montana
Hamilton, Montana is a small city in the Bitterroot Valley that serves as the economic and cultural hub of Ravalli County in western Montana.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bozeman Triple: [Western Montana, hasMajorCity, Bozeman]
Generated description
Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bozeman Target entity description: Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
-
A.
Missoula
Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
-
B.
Billings
Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
-
C.
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.
-
D.
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.
-
E.
Hamilton, Montana
Hamilton, Montana is a small city in the Bitterroot Valley that serves as the economic and cultural hub of Ravalli County in western Montana.
- F. None of above. chosen
Provenance (5 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ab846548190bcd2c5cd238f6cd9 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10c62888819082afe8d6ec6275a2 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf11635b9c819092130c46caea9306 |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf11e982d08190bc74312bf6ee7127 |
completed | March 21, 2026, 9:47 p.m. |
Created at: March 20, 2026, 1:48 p.m.