Triple
T1446528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equal Educational Opportunities Act |
E31189
|
entity |
| Predicate | typeOfDiscriminationCovered |
P28692
|
FINISHED |
| Object | discrimination based on race |
—
|
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: discrimination based on race | Statement: [Equal Educational Opportunities Act, typeOfDiscriminationCovered, discrimination based on race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDiscriminationCovered Context triple: [Equal Educational Opportunities Act, typeOfDiscriminationCovered, discrimination based on race]
-
A.
insuranceType
Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
-
B.
jurisdictionCovered
Indicates that a particular jurisdiction or legal authority is included within the scope or coverage of another entity, rule, or arrangement.
-
C.
primaryCoverage
Indicates that one entity serves as the main or principal source of coverage (such as insurance or protection) for another entity.
-
D.
protectionType
Indicates the kind or method of protection that is applied to or associated with an entity.
-
E.
typeOfClaim
Indicates the specific category or nature of a claim being made in relation to an entity or statement.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c558e0e081909802753872374d7b |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.