Triple

T3392583
Position Surface form Disambiguated ID Type / Status
Subject Article I – General Provisions E71453 entity
Predicate preliminaryQuestionsAddressedIn P49373 FINISHED
Object Rule 104 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: Rule 104 | Statement: [Article I – General Provisions, preliminaryQuestionsAddressedIn, Rule 104]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preliminaryQuestionsAddressedIn
Context triple: [Article I – General Provisions, preliminaryQuestionsAddressedIn, Rule 104]
  • A. centralQuestion
    Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
  • B. inquiry
    Indicates that one entity seeks information, clarification, or an answer from another through a question or request.
  • C. openingQuestion
    Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
  • D. exploresQuestion
    Indicates that an entity actively investigates, examines, or probes a question to gain deeper understanding or insight.
  • E. raisesQuestion
    Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb851e57c8190983cadcedc58db50 completed March 8, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69adadf705608190975423779430cc58 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb2e426b88190b82d9830149b142e completed March 8, 2026, 5:33 p.m.
Created at: March 8, 2026, 3:14 p.m.