Triple
T7094005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family and Medical Leave Act of 1993 |
E165274
|
entity |
| Predicate | appliesToEmployerSize |
P74492
|
FINISHED |
| Object | 50 or more employees within 75 miles |
—
|
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: 50 or more employees within 75 miles | Statement: [Family and Medical Leave Act of 1993, appliesToEmployerSize, 50 or more employees within 75 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToEmployerSize Context triple: [Family and Medical Leave Act of 1993, appliesToEmployerSize, 50 or more employees within 75 miles]
-
A.
employersInclude
Indicates that a specified set or group of employers contains, as members, the employer or employers referenced by the other argument.
-
B.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
C.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
-
D.
employedApproximately
Indicates that one entity employs another in a manner where the number, duration, or extent of employment is approximate rather than exact.
-
E.
hasMajorEmployer
Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.