Triple
T37150136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalanche C-Chain EVM |
E920339
|
entity |
| Predicate | testnetName |
P117852
|
FINISHED |
| Object |
Avalanche Fuji C-Chain
Avalanche Fuji C-Chain is the public testnet network for Avalanche’s EVM-compatible C-Chain, used by developers to trial and validate smart contracts and dApps before mainnet deployment.
|
E2216013
|
NE FINISHED |
How this triple was built (3 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: Avalanche Fuji C-Chain | Statement: [Avalanche C-Chain EVM, testnetName, Avalanche Fuji C-Chain]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Avalanche Fuji C-Chain Triple: [Avalanche C-Chain EVM, testnetName, Avalanche Fuji C-Chain]
Generated description
Avalanche Fuji C-Chain is the public testnet network for Avalanche’s EVM-compatible C-Chain, used by developers to trial and validate smart contracts and dApps before mainnet deployment.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testnetName Context triple: [Avalanche C-Chain EVM, testnetName, Avalanche Fuji C-Chain]
-
A.
testnet
chosen
Indicates that an entity operates on, is associated with, or is designated as part of a testing blockchain network rather than the main production network.
-
B.
testnetChainId
Indicates the identifier of the blockchain network used for testing (testnet) on which an action or relationship takes place.
-
C.
testName
Indicates that an entity is identified or labeled by a specific test name.
-
D.
testCodeName
Indicates that an entity is identified or referred to by a specific test code name.
-
E.
thirdTestName
Indicates that an entity is associated with the name or label of its third test in a sequence of tests.
- F. None of above.
Provenance (6 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a402bae19848190b1de3481dfd22b00 |
completed | June 27, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a402c23c4e481908e808481ba088b5f |
completed | June 27, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40304ade9881909cdbe86d75532576 |
completed | June 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.