Triple

T1704733
Position Surface form Disambiguated ID Type / Status
Subject Basic Law for the Federal Republic of Germany E36845 entity
Predicate articleNumberRange P32456 FINISHED
Object Article 1 to Article 146 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: Article 1 to Article 146 | Statement: [Basic Law for the Federal Republic of Germany, articleNumberRange, Article 1 to Article 146]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: articleNumberRange
Context triple: [Basic Law for the Federal Republic of Germany, articleNumberRange, Article 1 to Article 146]
  • A. articleNumber
    Indicates that one entity is identified or referenced by a specific article number assigned to it.
  • B. rangeOf
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • C. bookChapterRange
    Indicates a relationship where a specified range of chapters within a book is identified or referenced as a contiguous segment.
  • D. introducedRange
    Indicates that an entity has brought a particular range (such as a span, interval, or set of values) into existence, use, or consideration.
  • E. hasRange
    Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab75ad24408190814069e6e3ef9e59 completed March 7, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69aa61bad17c8190861b92cfb423f68f completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab75ac1408819086b22b3cd0672a79 completed March 7, 2026, 12:47 a.m.
Created at: March 4, 2026, 7:30 p.m.