Triple
T14447880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Attention Token |
E358253
|
entity |
| Predicate | tokenStandard |
P751
|
FINISHED |
| Object | ERC-20 |
E772503
|
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: ERC-20 | Statement: [Basic Attention Token, tokenStandard, ERC-20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERC-20 Context triple: [Basic Attention Token, tokenStandard, ERC-20]
-
A.
ERC-20
chosen
ERC-20 is a widely adopted technical standard on the Ethereum blockchain that defines a common set of rules for creating and managing fungible tokens.
-
B.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
C.
ETH
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
-
D.
ETH
ETH is the official municipal code for the eThekwini Metropolitan Municipality, which includes the city of Durban in South Africa.
-
E.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdf451c8190baaa3f7500eaea16 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.