Triple
T25727051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Pirie |
E645137
|
entity |
| Predicate | industrialOperator |
P78688
|
FINISHED |
| Object | Nyrstar Port Pirie smelter |
—
|
NE NERFINISHED |
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: Nyrstar Port Pirie smelter | Statement: [Port Pirie, industrialOperator, Nyrstar Port Pirie smelter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialOperator Context triple: [Port Pirie, industrialOperator, Nyrstar Port Pirie smelter]
-
A.
refineryOperator
chosen
Indicates that one entity operates, manages, or runs a refinery facility for another entity or in a given context.
-
B.
steelPlantOperator
Indicates that one entity operates or manages a steel plant in relation to another entity.
-
C.
typicalOperator
Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
-
D.
technicalOperator
Indicates that one entity serves as the technical operator responsible for running, managing, or maintaining another entity or system.
-
E.
trainOperator
Indicates that one entity operates, manages, or runs train services for another entity or within a specific rail system.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fcb8c1908190968e113a3f6f0929 |
completed | May 2, 2026, 1:31 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 11:06 p.m.