Triple
T19377179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vanadium dioxide |
E484701
|
entity |
| Predicate | isElectrically |
P135728
|
FINISHED |
| Object | correlated electron material |
—
|
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: correlated electron material | Statement: [vanadium dioxide, isElectrically, correlated electron material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectrically Context triple: [vanadium dioxide, isElectrically, correlated electron material]
-
A.
hasElectricMotor
Indicates that an entity is equipped with, contains, or uses an electric motor as part of its operation or structure.
-
B.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
C.
electrificationCompatibility
Indicates whether one entity can be effectively and safely powered, charged, or operated using the electrical system, standards, or infrastructure associated with another entity.
-
D.
hasElectrificationStatus
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
-
E.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
- 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.