Triple
T9029478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RenVM |
E216131
|
entity |
| Predicate | originatedFrom |
P409
|
FINISHED |
| Object | Ren project |
E773503
|
NE 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: Ren project | Statement: [RenVM, originatedFrom, Ren project]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ren project Context triple: [RenVM, originatedFrom, Ren project]
-
A.
Ren Project
chosen
Ren Project is a decentralized finance protocol that enables cross-chain liquidity and the transfer of digital assets between different blockchains in a trustless manner.
-
B.
Ren
Ren is a Chinese surname most prominently associated with Ren Zhengfei, the founder of Huawei.
-
C.
Ren
Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
-
D.
The Project
The Project is an Australian television news and current affairs panel show on Network Ten that blends serious journalism with comedy and pop culture commentary.
-
E.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffda9697c81908a1a9e447519ce05 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:08 p.m.