Triple
T13272357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sankey Canal |
E316095
|
entity |
| Predicate | originalCargo |
P5941
|
FINISHED |
| Object | coal |
—
|
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: coal | Statement: [Sankey Canal, originalCargo, coal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCargo Context triple: [Sankey Canal, originalCargo, coal]
-
A.
mainCargo
chosen
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
B.
primaryCargoProtected
Indicates that the main cargo associated with an entity is safeguarded or shielded from harm, loss, or interference.
-
C.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
-
D.
primaryCargoDirection
Indicates the main directional flow or orientation in which the primary cargo is being transported or moved.
-
E.
notableCargo
Indicates that an entity is known for carrying or having carried a particularly important, famous, or otherwise noteworthy cargo.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.