Triple
T19871055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Northern Railway (Mount Isa line) |
E477516
|
entity |
| Predicate | freightCarried |
P69331
|
FINISHED |
| Object | minerals |
—
|
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: minerals | Statement: [Great Northern Railway (Mount Isa line), freightCarried, minerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freightCarried Context triple: [Great Northern Railway (Mount Isa line), freightCarried, minerals]
-
A.
railCarries
chosen
Indicates that a rail or railway system transports or conveys a specified entity from one place to another.
-
B.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
-
C.
typeOfHaulage
Indicates the kind or category of haulage service or transport operation associated with an entity.
-
D.
freightType
Indicates the category or mode of freight associated with a shipment or transport activity.
-
E.
commonlyTransportedIn
Indicates that something is usually carried, moved, or conveyed using a particular vehicle, container, or mode of transport.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a3d2b08190ad81914d4860df0e |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.