Triple
T7094003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family and Medical Leave Act of 1993 |
E165274
|
entity |
| Predicate | annualLeaveEntitlement |
P16413
|
FINISHED |
| Object | 12 workweeks per 12-month period |
—
|
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: 12 workweeks per 12-month period | Statement: [Family and Medical Leave Act of 1993, annualLeaveEntitlement, 12 workweeks per 12-month period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualLeaveEntitlement Context triple: [Family and Medical Leave Act of 1993, annualLeaveEntitlement, 12 workweeks per 12-month period]
-
A.
numberOfLeaves
Indicates the specific count of leaves associated with an entity.
-
B.
standardForLeave
Indicates that something defines, specifies, or serves as the normative basis or criteria for granting or taking leave.
-
C.
holidayStatus
Indicates the current holiday-related state or condition associated with an entity, such as whether it is a holiday, non-holiday, or a specific holiday type.
-
D.
holidaySchedule
Indicates the planned dates, times, and durations during which holidays occur or are observed.
-
E.
eligibilityPeriod
chosen
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e55159848190a794ad77e60c5525 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.