Triple
T16204573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai |
E393290
|
entity |
| Predicate | EIP-3651Purpose |
P117850
|
FINISHED |
| Object | optimize gas costs for accessing COINBASE address |
—
|
LITERAL 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: optimize gas costs for accessing COINBASE address | Statement: [Shanghai, EIP-3651Purpose, optimize gas costs for accessing COINBASE address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EIP-3651Purpose Context triple: [Shanghai, EIP-3651Purpose, optimize gas costs for accessing COINBASE address]
-
A.
interactionWithEIP
chosen
Indicates a relationship where an entity engages in or is involved in some form of interaction with an EIP (e.g., using, modifying, or communicating about it).
-
B.
encodingPurpose
Indicates the reason or intended use for which an encoding is created or applied.
-
C.
operationalPurpose
Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
-
D.
curvePurpose
Indicates that a curve exists or is defined for a particular purpose, function, or intended use.
-
E.
purposeOfGrant
Indicates that a grant is provided with the specific purpose, objective, or intended use described by the associated entity or activity.
- F. None of above.
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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.