Triple

T5932607
Position Surface form Disambiguated ID Type / Status
Subject ICH M4 Common Technical Document E131971 entity
Predicate module4Content P66986 FINISHED
Object nonclinical study reports 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: nonclinical study reports | Statement: [ICH M4 Common Technical Document, module4Content, nonclinical study reports]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: module4Content
Context triple: [ICH M4 Common Technical Document, module4Content, nonclinical study reports]
  • A. fourthPartTitle
    Indicates that the specified title is the fourth part in a sequence or multi-part work.
  • B. section5Description
    Indicates a descriptive text or explanation specifically associated with section 5 of a document or structured content.
  • C. section3ContentSummary
    Indicates a summarized representation of the main points or key information contained in the third section of a document or structure.
  • D. principle4
    Indicates that an entity embodies, adheres to, or is governed by a specific fourth principle within a defined set of principles.
  • E. fourthPartSubject
    Indicates that the subject is the fourth part or component within a larger ordered whole or sequence.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03f26f51881908cc253fe5775a1fc completed March 22, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c03355caf08190b960563a1aed23f9 completed March 22, 2026, 6:22 p.m.
PDg Predicate description generation batch_69c03f23dd20819089dbf0de0d913602 completed March 22, 2026, 7:12 p.m.
Created at: March 22, 2026, 4 p.m.