Triple
T35714450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pub.L. 92-463 |
E1031959
|
entity |
| Predicate | section9Subject |
P450
|
FINISHED |
| Object | establishment and chartering of advisory committees |
—
|
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: establishment and chartering of advisory committees | Statement: [Pub.L. 92-463, section9Subject, establishment and chartering of advisory committees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: section9Subject Context triple: [Pub.L. 92-463, section9Subject, establishment and chartering of advisory committees]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
subjectGroup
Indicates that an entity functions as a group or collection that the subject belongs to or is categorized under.
-
C.
ninthBookSubject
Indicates that the subject is the ninth book in an ordered sequence or collection associated with an entity.
-
D.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
E.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.