Triple
T5480077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSFB (Circuit Switched Fallback) |
E123446
|
entity |
| Predicate | handoverType |
P39909
|
FINISHED |
| Object | fallback from LTE to 2G/3G for CS services |
—
|
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: fallback from LTE to 2G/3G for CS services | Statement: [CSFB (Circuit Switched Fallback), handoverType, fallback from LTE to 2G/3G for CS services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handoverType Context triple: [CSFB (Circuit Switched Fallback), handoverType, fallback from LTE to 2G/3G for CS services]
-
A.
reverseHandOffTo
Indicates transferring control, responsibility, or ownership of something back to the previous holder or source after it was handed off.
-
B.
transmissionType
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
C.
transferMode
chosen
Indicates the method or mechanism by which something is transferred from one entity to another.
-
D.
handoverToChinaDate
Indicates the date on which control, ownership, or responsibility is formally transferred to China.
-
E.
changedHands
Indicates that ownership or control of something has been transferred from one party to another.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.