Triple
T27561300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Background Intelligent Transfer Service |
E695773
|
entity |
| Predicate | jobState |
P162705
|
FINISHED |
| Object | CONNECTING |
—
|
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: CONNECTING | Statement: [Background Intelligent Transfer Service, jobState, CONNECTING]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jobState Context triple: [Background Intelligent Transfer Service, jobState, CONNECTING]
-
A.
jobState
chosen
Indicates the current status or phase of progress that a job or task is in within its lifecycle.
-
B.
stateOfEmployment
Indicates that one entity’s employment status or condition is defined in relation to another entity (such as an employer, position, or employment situation).
-
C.
careerStatus
Indicates the current stage, position, or condition of an entity within its professional or occupational life.
-
D.
applicantState
Indicates the current status or condition assigned to an applicant within a process or system.
-
E.
officeState
Indicates the current operational or functional status of an office (e.g., open, closed, active, inactive) at a given time.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 1:39 p.m.