Triple
T3683769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 88-38 |
E78173
|
entity |
| Predicate | hasTypeOfDiscriminationAddressed |
P28692
|
FINISHED |
| Object | sex-based wage discrimination |
—
|
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: sex-based wage discrimination | Statement: [Public Law 88-38, hasTypeOfDiscriminationAddressed, sex-based wage discrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfDiscriminationAddressed Context triple: [Public Law 88-38, hasTypeOfDiscriminationAddressed, sex-based wage discrimination]
-
A.
typeOfDiscrimination
Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
-
B.
discriminatedAgainst
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
-
C.
typeOfSegregationAddressed
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
-
D.
typeOfDiscriminationCovered
chosen
Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
-
E.
doctrineAddressed
Indicates that a particular doctrine is the topic or subject that is dealt with, discussed, or responded to by something (such as a text, statement, or decision).
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49644d08190866d6c5df9d2b48d |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.