Triple
T4694976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Agreement concerning the International Carriage of Dangerous Goods by Road |
E104119
|
entity |
| Predicate | categoryOfDangerousGoods |
P1950
|
FINISHED |
| Object | explosives |
—
|
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: explosives | Statement: [European Agreement concerning the International Carriage of Dangerous Goods by Road, categoryOfDangerousGoods, explosives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfDangerousGoods Context triple: [European Agreement concerning the International Carriage of Dangerous Goods by Road, categoryOfDangerousGoods, explosives]
-
A.
hasChemicalClass
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
-
B.
hazardType
chosen
Indicates the specific kind or category of hazard associated with an entity or situation.
-
C.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
D.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
E.
airTransportableBy
Indicates that something can be transported or carried by air using a specific aircraft or air transport method.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.