Triple
T19047580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusasa I |
E466174
|
entity |
| Predicate | madeFromWaste |
P21333
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dusasa I, madeFromWaste, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeFromWaste Context triple: [Dusasa I, madeFromWaste, yes]
-
A.
containsWasteFrom
Indicates that one entity holds, includes, or is contaminated by waste originating from another entity.
-
B.
wasteOrigin
Indicates that one entity is the original source or point of generation of a particular waste associated with another entity.
-
C.
materialReusedAt
Indicates that some or all of a material is used again at a specified location or facility.
-
D.
madeWith
chosen
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
E.
typeOfWasteCovered
Indicates the specific category or kind of waste material that is included or addressed within a given context, agreement, or regulation.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d8057dec8190b9f1e0b54084ecec |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.