Triple
T15263762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Merge |
E364847
|
entity |
| Predicate | effectOnSecurityModel |
P79911
|
FINISHED |
| Object | shifted security from hash power to staked ETH |
—
|
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: shifted security from hash power to staked ETH | Statement: [The Merge, effectOnSecurityModel, shifted security from hash power to staked ETH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnSecurityModel Context triple: [The Merge, effectOnSecurityModel, shifted security from hash power to staked ETH]
-
A.
securityModelChange
chosen
Indicates that a change has occurred in the security model governing access, permissions, or protection mechanisms between entities.
-
B.
securityModelSimilarTo
Indicates that one entity’s security model is similar or comparable to that of another entity.
-
C.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
-
D.
hasSecuritySignificance
Indicates that something possesses importance or impact in the context of security, such as affecting safety, protection, or risk levels.
-
E.
securityImplication
Indicates that one entity has a consequence, effect, or relevance for the safety, protection, or vulnerability status of another entity or system.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.