Triple
T15434280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van de Graaff generator |
E369717
|
entity |
| Predicate | sphereMaterial |
P118763
|
FINISHED |
| Object | metal |
—
|
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: metal | Statement: [Van de Graaff generator, sphereMaterial, metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sphereMaterial Context triple: [Van de Graaff generator, sphereMaterial, metal]
-
A.
shadeMaterial
Indicates that one entity serves as the material or substance used to provide shade for another entity.
-
B.
matrixMaterial
Indicates that one material serves as the continuous matrix phase in which another component or reinforcement is embedded.
-
C.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
D.
terrainMaterial
Indicates the type of physical surface or ground substance that composes a given terrain.
-
E.
changedBallMaterialTo
Indicates that an entity altered the material composition of a ball to a new specified material.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.