Triple
T8245715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DuPont Corian |
E192843
|
entity |
| Predicate | isRepolishable |
P32578
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [DuPont Corian, isRepolishable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRepolishable Context triple: [DuPont Corian, isRepolishable, true]
-
A.
canBeReconstituted
chosen
Indicates that something has the capacity to be restored or returned to a prior or functional state, typically after being separated, dissolved, or broken down.
-
B.
isRenewable
Indicates that a resource or energy source can be naturally replenished or regenerated within a human-relevant timescale.
-
C.
hasReconstructionMaterial
Indicates that something is associated with, composed of, or utilizes a particular material for its reconstruction.
-
D.
hasLuster
Indicates that one entity possesses a shiny, glossy, or reflective surface quality.
-
E.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7872f6d481909ea1d3c2aad1a2b1 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.