Triple
T2503496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Mine Safety and Health Act of 1977 |
E52521
|
entity |
| Predicate | section105Subject |
P450
|
FINISHED |
| Object | contests of citations and orders |
—
|
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: contests of citations and orders | Statement: [Federal Mine Safety and Health Act of 1977, section105Subject, contests of citations and orders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: section105Subject Context triple: [Federal Mine Safety and Health Act of 1977, section105Subject, contests of citations and orders]
-
A.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
B.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
C.
subjectCanBe
Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
-
D.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
E.
articleIISubject
Indicates that the entity functions as the grammatical subject of a sentence governed by Article II.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cb4f6481908d4e0a1dc0d84d3c |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.