Triple
T16076309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PACER |
E389986
|
entity |
| Predicate | digitalTransformation |
P37902
|
FINISHED |
| Object | transition from dial-up to web-based system |
—
|
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: transition from dial-up to web-based system | Statement: [PACER, digitalTransformation, transition from dial-up to web-based system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalTransformation Context triple: [PACER, digitalTransformation, transition from dial-up to web-based system]
-
A.
corporateTransformation
Indicates a relationship where an organization undergoes a significant structural, strategic, or operational change from one corporate state to another.
-
B.
technologyTransition
chosen
Indicates a change in the primary technology, method, or system used from one technological state or solution to another.
-
C.
digitalTransitionDate
Indicates the date on which something changes from an analog or traditional form to a digital form or system.
-
D.
industryTransformed
Indicates that an entity has fundamentally changed the structure, practices, or dynamics of a particular industry.
-
E.
businessEvolution
Indicates how a business changes, grows, or transforms over time in response to internal developments and external conditions.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.