Triple
T19376966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V2O3 |
E484696
|
entity |
| Predicate | hasCorundumRelatedCompounds |
P135712
|
FINISHED |
| Object | Al2O3 |
—
|
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: Al2O3 | Statement: [V2O3, hasCorundumRelatedCompounds, Al2O3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorundumRelatedCompounds Context triple: [V2O3, hasCorundumRelatedCompounds, Al2O3]
-
A.
hasMineral
Indicates that one entity contains, includes, or is composed of a specified mineral.
-
B.
hasImportantMineral
Indicates that an entity contains or is associated with a mineral considered significant or valuable in a given context.
-
C.
typeOfMineralsCovered
Indicates that one entity specifies or lists the kinds or categories of minerals that are included, addressed, or affected by another entity.
-
D.
containsNaturallyOccurringElements
Indicates that something includes elements that occur in nature without human alteration or synthesis.
-
E.
hasMagmaComposition
Indicates that something possesses or is characterized by a specific magma composition.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.