Triple
T38401326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argonaut Mine disaster |
E900905
|
entity |
| Predicate | workplaceSafetyContext |
P107580
|
FINISHED |
| Object | occupational safety in mining |
—
|
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: occupational safety in mining | Statement: [Argonaut Mine disaster, workplaceSafetyContext, occupational safety in mining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workplaceSafetyContext Context triple: [Argonaut Mine disaster, workplaceSafetyContext, occupational safety in mining]
-
A.
safetyContext
chosen
Indicates the circumstances, conditions, or environment that affect how safe an action, object, or situation is.
-
B.
safetyDepartment
Indicates that an entity is associated with, belongs to, or is managed by a safety department responsible for safety-related functions or oversight.
-
C.
workConditions
Indicates the terms, environment, and circumstances under which work or a job is performed.
-
D.
safetyPrograms
Indicates that there are organized measures, policies, or initiatives implemented to protect people or assets from harm or risk.
-
E.
safetyCultureRegulator
Indicates a regulatory body’s role in shaping, enforcing, or overseeing an organization’s safety culture practices and standards.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.