Triple

T2557476
Position Surface form Disambiguated ID Type / Status
Subject Birdsong E56759 entity
Predicate isbnExample P3840 FINISHED
Object 9780099387916 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: 9780099387916 | Statement: [Birdsong, isbnExample, 9780099387916]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isbnExample
Context triple: [Birdsong, isbnExample, 9780099387916]
  • A. isbn
    Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
  • B. isbnType
    Indicates the specific classification or format type associated with an ISBN identifier for a publication.
  • C. isbn13 chosen
    Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
  • D. isbnFirstEnglishEdition
    Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
  • E. issn
    Indicates that an entity is associated with a specific International Standard Serial Number (ISSN), identifying it as a particular serial publication.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35c6ee88190b6eaa1841d3e99a4 completed March 7, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69abd0caeb488190b0dd8e48d0f2777d completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.