Triple
T19377190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vanadium dioxide |
E484701
|
entity |
| Predicate | isPrototypeMaterialFor |
P60740
|
FINISHED |
| Object | strongly correlated electron systems |
—
|
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: strongly correlated electron systems | Statement: [vanadium dioxide, isPrototypeMaterialFor, strongly correlated electron systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrototypeMaterialFor Context triple: [vanadium dioxide, isPrototypeMaterialFor, strongly correlated electron systems]
-
A.
isMaterialSpecific
Indicates that a relationship, rule, or property applies only to a particular material or set of materials, rather than being generally applicable.
-
B.
hasParentMaterial
Indicates that one entity is derived from, formed in, or directly associated with another entity that serves as its original or underlying material.
-
C.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
usesMaterialBy
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
-
E.
exampleMaterial
chosen
Indicates that something serves as a representative or illustrative material or sample of something else.
- 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_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. |
Created at: April 10, 2026, 1:35 p.m.