Triple
T22062257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSUPA |
E545181
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object |
E-DCH
E-DCH (Enhanced Dedicated Channel) is a 3G UMTS uplink transport channel that enables higher data rates and lower latency, forming the core uplink technology used by HSUPA.
|
E1516271
|
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: E-DCH | Statement: [HSUPA, uses, E-DCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-DCH Context triple: [HSUPA, uses, E-DCH]
-
A.
DCH
DCH is the Georgia state agency responsible for overseeing public health care programs, including Medicaid and PeachCare for Kids, and regulating health care facilities.
-
B.
DCH
DCH is the National Rail station code for Dorchester South railway station in Dorset, England.
-
C.
DCHI
DCHI is a public health division focused on investigating and addressing community-level health concerns and environmental health risks.
-
D.
ED-E
ED-E is an eyebot reconnaissance drone and potential companion in the post-apocalyptic role-playing game Fallout: New Vegas.
-
E.
ICH E2D
ICH E2D is an International Council for Harmonisation guideline that provides standards for post-approval safety data management, including the collection, evaluation, and reporting of safety information for marketed medicinal products.
- 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: E-DCH Triple: [HSUPA, uses, E-DCH]
Generated description
E-DCH (Enhanced Dedicated Channel) is a 3G UMTS uplink transport channel that enables higher data rates and lower latency, forming the core uplink technology used by HSUPA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-DCH Target entity description: E-DCH (Enhanced Dedicated Channel) is a 3G UMTS uplink transport channel that enables higher data rates and lower latency, forming the core uplink technology used by HSUPA.
-
A.
DCH
DCH is the Georgia state agency responsible for overseeing public health care programs, including Medicaid and PeachCare for Kids, and regulating health care facilities.
-
B.
DCH
DCH is the National Rail station code for Dorchester South railway station in Dorset, England.
-
C.
DCHI
DCHI is a public health division focused on investigating and addressing community-level health concerns and environmental health risks.
-
D.
ED-E
ED-E is an eyebot reconnaissance drone and potential companion in the post-apocalyptic role-playing game Fallout: New Vegas.
-
E.
ICH E2D
ICH E2D is an International Council for Harmonisation guideline that provides standards for post-approval safety data management, including the collection, evaluation, and reporting of safety information for marketed medicinal products.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285e8c688190b701e417893cc148 |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80ab1d248190b1dc9d10e7a3d4da |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a81565a748190941d433f88f0bcdc |
completed | May 18, 2026, 3:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a821dfb0881908586c38e7f9cd8fa |
completed | May 18, 2026, 3:06 a.m. |
Created at: April 16, 2026, 8:27 p.m.