Triple
T9029471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RenVM |
E216131
|
entity |
| Predicate | burns |
P85972
|
FINISHED |
| Object | wrapped assets to release native assets on origin chains |
—
|
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: wrapped assets to release native assets on origin chains | Statement: [RenVM, burns, wrapped assets to release native assets on origin chains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burns Context triple: [RenVM, burns, wrapped assets to release native assets on origin chains]
-
A.
burnType
Indicates the specific category or severity of a burn associated with an entity or event.
-
B.
burned
Indicates that one entity caused another entity to be damaged or consumed by fire or intense heat.
-
C.
burnedDuring
Indicates that one event, object, or process was actively burning or being consumed by fire during the time span of another specified event or interval.
-
D.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
-
E.
fires
Indicates that an agent initiates the discharge or ignition of something, such as a weapon, engine, or explosive device, causing it to operate or go off.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7:08 p.m.