Triple
T25620773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADEA |
E642289
|
entity |
| Predicate | coversEmploymentPractice |
P74486
|
FINISHED |
| Object | terms, conditions, and privileges of employment |
—
|
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: terms, conditions, and privileges of employment | Statement: [ADEA, coversEmploymentPractice, terms, conditions, and privileges of employment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversEmploymentPractice Context triple: [ADEA, coversEmploymentPractice, terms, conditions, and privileges of employment]
-
A.
coversPractice
chosen
Indicates that one entity includes, addresses, or provides instruction on a particular practice or set of practices.
-
B.
commonEmployment
Indicates that two or more entities share the same employer or have worked for the same organization.
-
C.
employmentPolicy
Indicates the rules, guidelines, or practices an organization establishes to govern employment relationships and working conditions.
-
D.
eligiblePracticesInclude
Indicates that certain practices are counted as part of, or qualify to be included in, a defined set of eligible practices.
-
E.
coversOccupation
Indicates that one entity provides information about, includes, or pertains to another entity’s occupation or professional role.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 5:04 p.m.