Triple
T33230906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juneteenth National Independence Day Act |
E850688
|
entity |
| Predicate | sectionAffected |
P14593
|
FINISHED |
| Object | 5 U.S.C. § 6103 |
—
|
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: 5 U.S.C. § 6103 | Statement: [Juneteenth National Independence Day Act, sectionAffected, 5 U.S.C. § 6103]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionAffected Context triple: [Juneteenth National Independence Day Act, sectionAffected, 5 U.S.C. § 6103]
-
A.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
B.
standAffected
Indicates that an entity is in a state or position of being impacted or influenced by another entity or event.
-
C.
affectedClass
Indicates that one entity (typically a change, event, or issue) has an impact on or is relevant to a particular class or category of items.
-
D.
frontAffected
Indicates that an action, event, or condition primarily impacts the front side or front-facing part of an entity.
-
E.
sectionAddressed
chosen
Indicates that a specific section or part of a document, text, or resource is being referred to, targeted, or dealt with by an action or statement.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.