Triple
T38012779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN 1671 |
E948409
|
entity |
| Predicate | hasPackingGroup |
P202302
|
FINISHED |
| Object | II |
—
|
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: II | Statement: [UN 1671, hasPackingGroup, II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPackingGroup Context triple: [UN 1671, hasPackingGroup, II]
-
A.
hasPackagingLimit
Indicates that there is a maximum allowed quantity, size, or type of packaging associated with an item or transaction.
-
B.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
hasPackingRadius
Indicates that an entity is associated with a specific packing radius value, defining the radius within which its packing or spatial occupancy is considered.
-
D.
hasCargoDivision
Indicates that an organization possesses a specific division or unit responsible for cargo-related operations or services.
-
E.
canBeUnpackedWith
Indicates that one entity can be opened or decomposed using another specified method, tool, or process.
- F. None of above. chosen
Provenance (4 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a006fe981488190b4287289a3327664 |
completed | May 10, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_6a006f6976ec8190ba2c04fbaa946345 |
completed | May 10, 2026, 11:43 a.m. |
| PDg | Predicate description generation | batch_6a006fe8d7ac81908642e4b7c81532ac |
completed | May 10, 2026, 11:45 a.m. |
Created at: May 3, 2026, 4:20 p.m.