Triple
T2091069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equal Employment Opportunity Act of 1972 |
E32670
|
entity |
| Predicate | regulatesArea |
P34656
|
FINISHED |
| Object | employment 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: employment discrimination | Statement: [Equal Employment Opportunity Act of 1972, regulatesArea, employment discrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesArea Context triple: [Equal Employment Opportunity Act of 1972, regulatesArea, employment discrimination]
-
A.
governanceArea
Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
-
B.
areaAControl
Indicates that one entity exercises control or authority over a specified area or region.
-
C.
areaBControl
Indicates that one entity has control or authority over a specific region or area labeled as B.
-
D.
assessmentAreaDefinedBy
Indicates that the scope or domain of an assessment is specified or delimited by a particular area or boundary.
-
E.
regionRuled
Indicates that a particular region is governed or controlled by a specified ruler or authority.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7443448190a2642769d0b5fb93 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:43 p.m.