Triple
T6313782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP SA |
E141565
|
entity |
| Predicate | SA1Scope |
P61710
|
FINISHED |
| Object | services 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: services requirements | Statement: [3GPP SA, SA1Scope, services requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SA1Scope Context triple: [3GPP SA, SA1Scope, services requirements]
-
A.
scopeOfDeclaration
Indicates the syntactic region or context within which a particular declaration is valid and can be referenced.
-
B.
scopeOfReference
chosen
Indicates the range or domain of things, concepts, or entities to which a reference, statement, or expression applies.
-
C.
definesScopeFor
Indicates that one entity establishes or delimits the scope, boundaries, or applicability within which another entity operates or is interpreted.
-
D.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
E.
encodingScope
Indicates the range or extent of content or information that is covered, represented, or captured by a particular encoding.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a075dc8190acf7ec010cb4b00c |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.