Triple
T18179405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appendix Graduate |
E435242
|
entity |
| Predicate | hasTypeOfLeave |
P74490
|
FINISHED |
| Object | work route with no employer sponsorship requirement |
—
|
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: work route with no employer sponsorship requirement | Statement: [Appendix Graduate, hasTypeOfLeave, work route with no employer sponsorship requirement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfLeave Context triple: [Appendix Graduate, hasTypeOfLeave, work route with no employer sponsorship requirement]
-
A.
leaveType
chosen
Indicates the type or category of leave associated with an absence or time-off event (e.g., vacation, sick leave, parental leave).
-
B.
standardForLeave
Indicates that something defines, specifies, or serves as the normative basis or criteria for granting or taking leave.
-
C.
hasAttendanceType
Indicates the specific category or mode of attendance associated with an event or participant (e.g., in-person, virtual, hybrid).
-
D.
hasReservationType
Indicates that an entity is associated with a specific category or type of reservation.
-
E.
hasHolidayAssociation
Indicates a relationship where something is connected or related to a holiday, such as by theme, usage, or occurrence.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dff9aad081909cc7eed2b64828f2 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.