Triple
T15989701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coinbase |
E387791
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object |
Litecoin
Litecoin is a peer-to-peer cryptocurrency and open-source blockchain project created as a faster, lower-cost alternative to Bitcoin.
|
E1187516
|
NE FINISHED |
How this triple was built (4 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: Litecoin | Statement: [Coinbase, supports, Litecoin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Litecoin Context triple: [Coinbase, supports, Litecoin]
-
A.
Zcash
Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
-
B.
Bitcoin Cash
Bitcoin Cash is a decentralized cryptocurrency that forked from Bitcoin to offer faster, cheaper peer-to-peer payments through larger block sizes.
-
C.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
D.
Gascoine
Gascoine is a surname most notably associated with English actress and novelist Jill Gascoine.
-
E.
Bitcoin
Bitcoin is a decentralized digital cryptocurrency that operates without a central bank, enabling peer-to-peer transactions secured by blockchain technology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Litecoin Triple: [Coinbase, supports, Litecoin]
Generated description
Litecoin is a peer-to-peer cryptocurrency and open-source blockchain project created as a faster, lower-cost alternative to Bitcoin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Litecoin Target entity description: Litecoin is a peer-to-peer cryptocurrency and open-source blockchain project created as a faster, lower-cost alternative to Bitcoin.
-
A.
Zcash
Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
-
B.
Bitcoin Cash
Bitcoin Cash is a decentralized cryptocurrency that forked from Bitcoin to offer faster, cheaper peer-to-peer payments through larger block sizes.
-
C.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
D.
Gascoine
Gascoine is a surname most notably associated with English actress and novelist Jill Gascoine.
-
E.
Bitcoin
Bitcoin is a decentralized digital cryptocurrency that operates without a central bank, enabling peer-to-peer transactions secured by blockchain technology.
- F. None of above. chosen
Provenance (5 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc45e6ff48190bb7b82adb4161ad0 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:54 a.m.