Triple
T14826894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian cotton industry |
E348598
|
entity |
| Predicate | typicalProductionSystem |
P10569
|
FINISHED |
| Object | irrigated cropping |
—
|
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: irrigated cropping | Statement: [Australian cotton industry, typicalProductionSystem, irrigated cropping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProductionSystem Context triple: [Australian cotton industry, typicalProductionSystem, irrigated cropping]
-
A.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
B.
hasMajorProductionSystem
chosen
Indicates that an entity primarily operates, utilizes, or is characterized by a particular major production system.
-
C.
typicalInductionSystem
Indicates that one entity is a standard or representative example of an induction system associated with another entity.
-
D.
partOfProduction
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
-
E.
productionFacilityType
Indicates the specific kind or category of facility where production or manufacturing activities take place.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.