Triple
T5479582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSM |
E123436
|
entity |
| Predicate | predecessorTechnology |
P9737
|
FINISHED |
| Object | analog 1G systems |
—
|
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: analog 1G systems | Statement: [GSM, predecessorTechnology, analog 1G systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorTechnology Context triple: [GSM, predecessorTechnology, analog 1G systems]
-
A.
predecessorSystem
Indicates that one system existed or was in use before and was replaced or superseded by another system.
-
B.
predecessorSystemType
chosen
Indicates that one system type functioned as the predecessor or earlier version to another system type.
-
C.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
D.
technologyLevelComparedToPredecessor
Indicates how the technology level of an entity compares to that of its immediate predecessor.
-
E.
predecessorVersion
Indicates that one entity is an earlier or prior version in a version sequence relative to another entity.
- 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.