Triple
T36223599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rilsan |
E1047922
|
entity |
| Predicate | bioBasedContent |
P180249
|
FINISHED |
| Object | nearly 100% |
—
|
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: nearly 100% | Statement: [Rilsan, bioBasedContent, nearly 100%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bioBasedContent Context triple: [Rilsan, bioBasedContent, nearly 100%]
-
A.
isBiodegradable
Indicates that a material or substance can be broken down naturally by microorganisms into simpler, non-harmful components over time.
-
B.
organicMatterContent
chosen
Indicates the proportion or amount of organic material present within a given substance, medium, or environment.
-
C.
biomassContribution
Indicates the proportion or amount that an entity adds to the total biomass within a given system or context.
-
D.
isPrimarilyComposedOf
Indicates that the main or dominant material, substance, or component of one entity consists of another specified entity.
-
E.
isCellulosicFiber
Indicates that a material or fiber is composed primarily of cellulose or derived from cellulose-based sources.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b58275c08190a5ce7b3e575ddff7 |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.