Triple
T2042250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fish and Wildlife Coordination Act |
E44769
|
entity |
| Predicate | sectionRange |
P4679
|
FINISHED |
| Object | Sections 661 to 667e of Title 16, United States Code |
—
|
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: Sections 661 to 667e of Title 16, United States Code | Statement: [Fish and Wildlife Coordination Act, sectionRange, Sections 661 to 667e of Title 16, United States Code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionRange Context triple: [Fish and Wildlife Coordination Act, sectionRange, Sections 661 to 667e of Title 16, United States Code]
-
A.
bookChapterRange
Indicates a relationship where a specified range of chapters within a book is identified or referenced as a contiguous segment.
-
B.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
C.
articleNumberRange
Indicates that something is associated with or falls within a specified range of article numbers.
-
D.
subrange
Indicates that one value or interval lies entirely within the bounds of another value or interval.
-
E.
range
chosen
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.