Triple
T16382797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado School of Mines |
E397848
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Orediggers
Orediggers is the nickname for the athletic teams representing the Colorado School of Mines, reflecting the university’s strong heritage in mining and engineering.
|
E1210175
|
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: Orediggers | Statement: [Colorado School of Mines, nickname, Orediggers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orediggers Context triple: [Colorado School of Mines, nickname, Orediggers]
-
A.
Dry Diggings
Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
-
B.
Miners
Miners is the nickname for the University of Texas at El Paso’s athletic teams, most prominently its NCAA Division I football program.
-
C.
Drillers
The Drillers are the athletic teams representing Bakersfield High School in interscholastic sports and competitions.
-
D.
Drillers
Drillers is a Minor League Baseball team based in Tulsa, Oklahoma, serving as a Double-A affiliate in professional baseball.
-
E.
The Badlanders
The Badlanders is a 1958 American Western crime film, loosely based on the novel "The Asphalt Jungle," about two ex-convicts planning a gold heist in a corrupt Arizona mining town.
- 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: Orediggers Triple: [Colorado School of Mines, nickname, Orediggers]
Generated description
Orediggers is the nickname for the athletic teams representing the Colorado School of Mines, reflecting the university’s strong heritage in mining and engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orediggers Target entity description: Orediggers is the nickname for the athletic teams representing the Colorado School of Mines, reflecting the university’s strong heritage in mining and engineering.
-
A.
Dry Diggings
Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
-
B.
Miners
Miners is the nickname for the University of Texas at El Paso’s athletic teams, most prominently its NCAA Division I football program.
-
C.
Drillers
The Drillers are the athletic teams representing Bakersfield High School in interscholastic sports and competitions.
-
D.
Drillers
Drillers is a Minor League Baseball team based in Tulsa, Oklahoma, serving as a Double-A affiliate in professional baseball.
-
E.
The Badlanders
The Badlanders is a 1958 American Western crime film, loosely based on the novel "The Asphalt Jungle," about two ex-convicts planning a gold heist in a corrupt Arizona mining town.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319ddcef08190a2081855b5cf6762 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356b00408190beab51a23011be67 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00369391a08190bb5521e2fcc839c6 |
completed | May 10, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00374326948190ae039bc689054387 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.