Triple
T7115896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equal Rights Amendment |
E165818
|
entity |
| Predicate | section1Text |
P2253
|
FINISHED |
| Object | Equality of rights under the law shall not be denied or abridged by the United States or by any State on account of sex. |
—
|
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: Equality of rights under the law shall not be denied or abridged by the United States or by any State on account of sex. | Statement: [Equal Rights Amendment, section1Text, Equality of rights under the law shall not be denied or abridged by the United States or by any State on account of sex.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: section1Text Context triple: [Equal Rights Amendment, section1Text, Equality of rights under the law shall not be denied or abridged by the United States or by any State on account of sex.]
-
A.
textOfSection1
chosen
Indicates that the referenced text is the content belonging specifically to section 1 of a larger document or structure.
-
B.
textOfSection2
Indicates that one entity is the textual content that constitutes the second section of another entity.
-
C.
section2Description
Indicates the descriptive text or content provided for the second section of a structured item or document.
-
D.
section5Description
Indicates a descriptive text or explanation specifically associated with section 5 of a document or structured content.
-
E.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.