Triple
T6305288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP RAN |
E141359
|
entity |
| Predicate | RAN4Scope |
P28992
|
FINISHED |
| Object | radio performance and RF requirements |
—
|
LITERAL 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: radio performance and RF requirements | Statement: [3GPP RAN, RAN4Scope, radio performance and RF requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RAN4Scope Context triple: [3GPP RAN, RAN4Scope, radio performance and RF requirements]
-
A.
ranIn
Indicates that an entity performed a running action within or during a specified location, context, or time frame.
-
B.
M4QScope
Indicates that one entity defines or constrains the scope, range, or applicability within which another entity or action is valid or considered.
-
C.
rangeOf
chosen
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
D.
runsFrom
Indicates that one entity flees or escapes away from another entity.
-
E.
M4EScope
Indicates that an entity’s scope, range, or applicability is defined or constrained within a specific M4E (Model for Evaluation) context.
- F. None of above.
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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06479acec819090306a155a03b774 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.