Triple
T21196625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silicon Slopes technology corridor |
E522342
|
entity |
| Predicate | hasOrganization |
P629
|
FINISHED |
| Object | Silicon Slopes (nonprofit organization) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Silicon Slopes (nonprofit organization) | Statement: [Silicon Slopes technology corridor, hasOrganization, Silicon Slopes (nonprofit organization)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silicon Slopes (nonprofit organization) Context triple: [Silicon Slopes technology corridor, hasOrganization, Silicon Slopes (nonprofit organization)]
-
A.
Silicon Slopes technology corridor
Silicon Slopes technology corridor is a major high-tech and startup hub in Utah, known for its concentration of software, biotech, and other technology companies.
-
B.
University of Utah Research Foundation
The University of Utah Research Foundation is a nonprofit organization affiliated with the University of Utah that manages and commercializes the university’s intellectual property and research innovations.
-
C.
Silicon Forest
Silicon Forest is a high-tech industry region in and around Portland, Oregon, known for its concentration of electronics, semiconductor, and technology companies.
-
D.
Utah Olympic Legacy Foundation
The Utah Olympic Legacy Foundation is a nonprofit organization that preserves and operates Utah’s 2002 Winter Olympic venues as year-round training, competition, and public recreation facilities.
-
E.
City Creek Reserve Inc.
City Creek Reserve Inc. is a real estate development arm of The Church of Jesus Christ of Latter-day Saints, known for overseeing major urban redevelopment projects in downtown Salt Lake City.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silicon Slopes (nonprofit organization) Target entity description: Silicon Slopes (nonprofit organization) is a Utah-based nonprofit that supports and promotes the state’s tech and startup ecosystem through events, community building, and industry advocacy.
-
A.
Silicon Slopes technology corridor
chosen
Silicon Slopes technology corridor is a major high-tech and startup hub in Utah, known for its concentration of software, biotech, and other technology companies.
-
B.
University of Utah Research Foundation
The University of Utah Research Foundation is a nonprofit organization affiliated with the University of Utah that manages and commercializes the university’s intellectual property and research innovations.
-
C.
Silicon Forest
Silicon Forest is a high-tech industry region in and around Portland, Oregon, known for its concentration of electronics, semiconductor, and technology companies.
-
D.
Utah Olympic Legacy Foundation
The Utah Olympic Legacy Foundation is a nonprofit organization that preserves and operates Utah’s 2002 Winter Olympic venues as year-round training, competition, and public recreation facilities.
-
E.
City Creek Reserve Inc.
City Creek Reserve Inc. is a real estate development arm of The Church of Jesus Christ of Latter-day Saints, known for overseeing major urban redevelopment projects in downtown Salt Lake City.
- F. None of above.
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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333bd7a0819084bbd1d6c111bc65 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:08 p.m.