Triple
T187066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Law Revision Counsel of the U.S. House of Representatives |
E4003
|
entity |
| Predicate | publishingFormat |
P130
|
FINISHED |
| Object | digital |
—
|
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: digital | Statement: [Office of the Law Revision Counsel of the U.S. House of Representatives, publishingFormat, digital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishingFormat Context triple: [Office of the Law Revision Counsel of the U.S. House of Representatives, publishingFormat, digital]
-
A.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
-
B.
publisherType
Indicates the classification or category of a publisher in relation to a published work or entity.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
E.
publishedIn
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594940e48190a3d8efbce46241c3 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25670feb081908e26a2543ebe7b3a |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.