Triple
T34051830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | td.Pharma |
E873244
|
entity |
| Predicate | targetCargo |
P124266
|
FINISHED |
| Object | pharmaceutical products |
—
|
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: pharmaceutical products | Statement: [td.Pharma, targetCargo, pharmaceutical products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCargo Context triple: [td.Pharma, targetCargo, pharmaceutical products]
-
A.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
B.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
-
C.
cargoContents
chosen
Indicates that one entity contains or carries another entity as its cargo.
-
D.
hasCargoRole
Indicates that an entity participates in a cargo-related capacity or function within a transport, shipment, or logistics context.
-
E.
militaryCargoOnBoard
Indicates that a vehicle, vessel, or aircraft is currently carrying military-related cargo on board.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 1, 2026, 1:51 a.m.