Triple

T27638906
Position Surface form Disambiguated ID Type / Status
Subject SegWit2x E696535 entity
Predicate wouldCause P146054 FINISHED
Object chain split risk 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: chain split risk | Statement: [SegWit2x, wouldCause, chain split risk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wouldCause
Context triple: [SegWit2x, wouldCause, chain split risk]
  • A. wouldProvide
    Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
  • B. possibleCauseOf chosen
    Indicates that one entity is a potential, but not certain, cause or contributing factor to another entity or outcome.
  • C. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • D. willKill
    Indicates that one entity is destined or intends to cause the death of another entity in the future.
  • E. couldIssue
    Indicates that one entity has the authority or ability to issue something (such as a document, command, or resource) to another entity.
  • 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6318fec0c8190971b4fc1a7df10d3 completed May 2, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69f62c1921008190a62675a31f66a875 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:25 p.m.