Triple

T36789763
Position Surface form Disambiguated ID Type / Status
Subject IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness E909017 entity
Predicate advantageOver P635 FINISHED
Object BDD-based methods on many hardware benchmarks LITERAL FINISHED

How this triple was built (1 step)

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: BDD-based methods on many hardware benchmarks | Statement: [IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness, advantageOver, BDD-based methods on many hardware benchmarks]

Provenance (2 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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9fd7ee081908faacc427cd200fe completed May 3, 2026, 10:19 p.m.
Created at: May 3, 2026, 4:12 p.m.