Triple
T25849493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS John Harvey |
E651160
|
entity |
| Predicate | hazardClass |
P1950
|
FINISHED |
| Object | chemical weapons transport |
—
|
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: chemical weapons transport | Statement: [SS John Harvey, hazardClass, chemical weapons transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hazardClass Context triple: [SS John Harvey, hazardClass, chemical weapons transport]
-
A.
hazardType
chosen
Indicates the specific kind or category of hazard associated with an entity or situation.
-
B.
isHazardTo
Indicates that one entity poses a potential source of danger, harm, or risk to another entity.
-
C.
hasHazardLevel
Indicates that an entity is associated with a specified degree or category of risk or danger.
-
D.
hazardLevelSystem
Indicates a system’s assigned degree of risk or danger within a defined hazard classification framework.
-
E.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6023ac9e48190b60639f667445ace |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:58 a.m.