Triple

T37459095
Position Surface form Disambiguated ID Type / Status
Subject Lightbomb E930872 entity
Predicate originallyStandardLegal P205902 FINISHED
Object true 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: true | Statement: [Lightbomb, originallyStandardLegal, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originallyStandardLegal
Context triple: [Lightbomb, originallyStandardLegal, true]
  • A. isStandardLegal
    Indicates that something complies with and is permitted under the relevant formal rules, regulations, or standards.
  • B. legalStandardType
    Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
  • C. legalStandardCreated
    Indicates that one entity (such as a case, statute, or regulation) establishes or formulates a legal standard that is then applied or referenced by another entity.
  • D. legalStandardHistoricallyAssociatedWith
    Indicates that a particular legal standard has been historically linked or traditionally associated with another legal concept, practice, or context.
  • E. legalStandardOftenIncludes
    Indicates that a particular legal standard commonly or typically encompasses or contains another specified element, criterion, or requirement.
  • 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a13a1308190a202df66f4781855 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c842b2c819082f1d2db995ac2eb completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:17 p.m.