Triple

T17990757
Position Surface form Disambiguated ID Type / Status
Subject Child 44 E430362 entity
Predicate isbn-13 P3840 FINISHED
Object 978-1-4165-7170-3 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: 978-1-4165-7170-3 | Statement: [Child 44, isbn-13, 978-1-4165-7170-3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isbn-13
Context triple: [Child 44, isbn-13, 978-1-4165-7170-3]
  • A. isbn13 chosen
    Indicates that the subject has the specified 13-digit International Standard Book Number (ISBN-13) as its unique identifier.
  • B. isbn
    Indicates that a publication is associated with a specific International Standard Book Number (ISBN) that uniquely identifies it.
  • C. isbnType
    Indicates the specific classification or format type associated with an ISBN identifier for a publication.
  • D. isbnFirstEnglishEdition
    Indicates that the object is the ISBN identifier corresponding to the first English-language edition of the subject work.
  • E. firstEditionISBN
    Indicates that the object is the International Standard Book Number (ISBN) assigned to the first edition of the subject work.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
PD Predicate disambiguation batch_69e3f90039e4819080527f860dca042e completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:23 a.m.