Triple
T25664291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 111-31 |
E643468
|
entity |
| Predicate | chapterInStatutesAtLarge |
P1118
|
FINISHED |
| Object | 123 Stat. 1776 |
—
|
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: 123 Stat. 1776 | Statement: [Public Law 111-31, chapterInStatutesAtLarge, 123 Stat. 1776]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterInStatutesAtLarge Context triple: [Public Law 111-31, chapterInStatutesAtLarge, 123 Stat. 1776]
-
A.
statutesAtLargeCitation
chosen
Indicates that one entity cites or is referenced by a specific citation in the United States Statutes at Large.
-
B.
chapterOfLaw
Indicates that one legal text or section is a chapter belonging to a specific law or legal act.
-
C.
legislativeActOf
Indicates a relationship where a legislative act is authored, enacted, or formally issued by a specific legislative body or authority.
-
D.
constitutionalText
Indicates that one entity is the textual content that constitutes or forms part of a constitution associated with another entity.
-
E.
statuteApprovedBy
Indicates that a statute has received formal approval or authorization from a specified person, body, or authority.
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faf1f9c48190ad732234e836b143 |
completed | May 2, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 7 p.m.