Triple
T12029245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defense of Marriage Act |
E286357
|
entity |
| Predicate | statusOfSection2 |
P66640
|
FINISHED |
| Object | effectively superseded by Obergefell v. Hodges |
—
|
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Phrase: effectively superseded by Obergefell v. Hodges | Statement: [Defense of Marriage Act, statusOfSection2, effectively superseded by Obergefell v. Hodges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfSection2 Context triple: [Defense of Marriage Act, statusOfSection2, effectively superseded by Obergefell v. Hodges]
-
A.
textOfSection2
Indicates that one entity is the textual content that constitutes the second section of another entity.
-
B.
includesStatusSection
Indicates that something contains or provides a dedicated section for displaying status information.
-
C.
section2Description
Indicates the descriptive text or content provided for the second section of a structured item or document.
-
D.
statusOfSubunit
chosen
Indicates the current condition, state, or operational situation of a component or subunit in relation to its larger whole.
-
E.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.