Triple
T29738279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HASP |
E752528
|
entity |
| Predicate | jobType |
P1366
|
FINISHED |
| Object | batch jobs |
—
|
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: batch jobs | Statement: [HASP, jobType, batch jobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jobType Context triple: [HASP, jobType, batch jobs]
-
A.
employmentType
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
B.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
C.
careerType
Indicates the kind or category of professional occupation or career path associated with an entity.
-
D.
workTitleType
Indicates the specific category or type of a work’s title (e.g., main title, alternative title, translated title) in relation to that work.
-
E.
vocationType
Indicates the specific kind or category of occupation, profession, or calling associated with an 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673361d10819085c3915531150531 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:46 p.m.