Triple

T36977239
Position Surface form Disambiguated ID Type / Status
Subject Financial Sector Regulation Act, 2017 E914733 entity
Predicate regulatoryPeak P52916 FINISHED
Object prudential regulation peak 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: prudential regulation peak | Statement: [Financial Sector Regulation Act, 2017, regulatoryPeak, prudential regulation peak]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryPeak
Context triple: [Financial Sector Regulation Act, 2017, regulatoryPeak, prudential regulation peak]
  • A. otherHighPeaks
    Indicates that an entity is associated with additional nearby or related high mountain peaks beyond a primary or reference peak.
  • B. regulatoryFeature
    Indicates that one entity functions as a regulatory element (e.g., controlling expression, activity, or behavior) that modulates or influences another entity.
  • C. hasRegulatoryRegion
    Indicates that one biological entity possesses or is associated with a specific regulatory DNA or genomic region that controls its expression or activity.
  • D. regulatoryTarget chosen
    Indicates that one entity is subject to control, influence, or governance by another entity under a regulatory or rule-based framework.
  • E. commonMotifRegion
    Indicates that two or more entities share a recurring motif within the same spatial or contextual region.
  • 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_69f76e8d13b4819089af24a47ce092fc completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fdee770af48190aca2670db50f8b49 completed May 8, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69fdecec98a08190a357d816dc2a6dbe completed May 8, 2026, 2:02 p.m.
Created at: May 3, 2026, 4:14 p.m.