Triple
T595634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CME Ether futures |
E17375
|
entity |
| Predicate | underlyingAsset |
P16091
|
FINISHED |
| Object |
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
|
E74505
|
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: Ether | Statement: [CME Ether futures, underlyingAsset, Ether]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ether Context triple: [CME Ether futures, underlyingAsset, Ether]
-
A.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
B.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
C.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
D.
Chain Gate
Chain Gate is one of the historic entrances to Jerusalem’s Noble Sanctuary (Al-Aqsa compound), located along the western wall of the sacred precinct.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- 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: Ether Triple: [CME Ether futures, underlyingAsset, Ether]
Generated description
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ether Target entity description: Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
A.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
B.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
C.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
D.
Chain Gate
Chain Gate is one of the historic entrances to Jerusalem’s Noble Sanctuary (Al-Aqsa compound), located along the western wall of the sacred precinct.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49d2a5f5481908bb9a71ff0f534d4 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a518c61744819090ccc037d61a61b1 |
completed | March 2, 2026, 4:57 a.m. |
| NEDg | Description generation | batch_69a5197869fc8190b3e11f46f4eea7b9 |
completed | March 2, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a519e6319c81908d49076dfe2cd963 |
completed | March 2, 2026, 5:02 a.m. |
Created at: March 1, 2026, 7:33 p.m.