Triple
T37907591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas-Rio |
E945596
|
entity |
| Predicate | expansionPotential |
P193584
|
FINISHED |
| Object | up to 90 million tonnes per year |
—
|
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: up to 90 million tonnes per year | Statement: [Minas-Rio, expansionPotential, up to 90 million tonnes per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expansionPotential Context triple: [Minas-Rio, expansionPotential, up to 90 million tonnes per year]
-
A.
expansionType
Indicates the specific manner or category by which something grows, extends, or increases in scope or size.
-
B.
expansionSystem
Indicates a relationship where a system undergoes or enables expansion, typically by increasing its scope, capacity, or components over time.
-
C.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
-
D.
expandsIn
Indicates that one entity grows, spreads, or extends its presence or influence within the space, scope, or context defined by another entity.
-
E.
expansionNumber
Indicates the specific expansion sequence or identifier assigned to an entity within a series of related additions or extensions.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:20 p.m.