Triple
T21786563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ArcelorMittal Zenica steelworks |
E537851
|
entity |
| Predicate | hasSafetyRisk |
P103131
|
FINISHED |
| Object | heavy industry occupational hazards |
—
|
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: heavy industry occupational hazards | Statement: [ArcelorMittal Zenica steelworks, hasSafetyRisk, heavy industry occupational hazards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyRisk Context triple: [ArcelorMittal Zenica steelworks, hasSafetyRisk, heavy industry occupational hazards]
-
A.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
-
B.
safetyImplication
chosen
Indicates that one entity has a consequence, effect, or relevance for the safety or risk level associated with another entity or situation.
-
C.
isHazardTo
Indicates that one entity poses a potential source of danger, harm, or risk to another entity.
-
D.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
E.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621b5d6881908b74bc999c94fa3d |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.