Triple
T3357565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bou Craa |
E70641
|
entity |
| Predicate | conveyorBeltType |
P47460
|
FINISHED |
| Object | overland conveyor belt |
—
|
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: overland conveyor belt | Statement: [Bou Craa, conveyorBeltType, overland conveyor belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conveyorBeltType Context triple: [Bou Craa, conveyorBeltType, overland conveyor belt]
-
A.
transmissionType
Indicates the method or medium through which something is transmitted or conveyed from one entity to another.
-
B.
brickProcessorType
Indicates the specific kind or category of processor associated with a given brick.
-
C.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
D.
beamType
Indicates the specific kind or category of beam involved in the relationship or action.
-
E.
bogieType
Indicates the specific configuration or classification of a vehicle’s bogie (wheel assembly) used in its design or operation.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb244435c81908e35d2aa36ec4f46 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:13 p.m.