Triple
T35714452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pub.L. 92-463 |
E1031959
|
entity |
| Predicate | section14Subject |
P184443
|
FINISHED |
| Object | termination and renewal 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: termination and renewal of advisory committees | Statement: [Pub.L. 92-463, section14Subject, termination and renewal of advisory committees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: section14Subject Context triple: [Pub.L. 92-463, section14Subject, termination and renewal of advisory committees]
-
A.
fourthPartSubject
Indicates that the subject is the fourth part or component within a larger ordered whole or sequence.
-
B.
nameOfSubject
Indicates that the predicate specifies the name or label assigned to the subject entity.
-
C.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
D.
season4Subject
Indicates that one entity serves as the subject or main focus of the fourth season of another entity (such as a series or show).
-
E.
teachingSubject
Indicates that an entity is engaged in teaching or instructing another entity in a particular subject or field of knowledge.
- F. None of above. chosen
Provenance (4 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:05 p.m.