Triple
T3524633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethereum blockchain |
E74507
|
entity |
| Predicate | hardFork |
P49251
|
FINISHED |
| Object | Ethereum Classic split |
—
|
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: Ethereum Classic split | Statement: [Ethereum blockchain, hardFork, Ethereum Classic split]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hardFork Context triple: [Ethereum blockchain, hardFork, Ethereum Classic split]
-
A.
secondHalvingYear
Indicates the calendar year in which the second halving event of a recurring, typically periodic, process or quantity occurs.
-
B.
supports64bitBlockNumbers
Indicates that the subject is capable of handling or operating with 64-bit block number values.
-
C.
thirdHalvingYear
Indicates the calendar year in which the third occurrence of a recurring halving event (such as a scheduled reduction in rate or quantity) takes place.
-
D.
difficultyTargetBits
Indicates the required difficulty level for a task or computation, expressed as a target number of leading zero bits that a valid solution must satisfy.
-
E.
firstHalvingYear
Indicates the calendar year in which the first halving event associated with an entity (such as a cryptocurrency’s block reward) occurs.
- F. None of above. chosen
Provenance (4 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.