Triple

T17293701
Position Surface form Disambiguated ID Type / Status
Subject Story of Your Life E419850 entity
Predicate hasPageCountInCollection P9415 FINISHED
Object approximately 60 pages 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: approximately 60 pages | Statement: [Story of Your Life, hasPageCountInCollection, approximately 60 pages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPageCountInCollection
Context triple: [Story of Your Life, hasPageCountInCollection, approximately 60 pages]
  • A. hasPageCountApprox chosen
    Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
  • B. hasPage
    Indicates that one entity includes, is associated with, or is documented by a specific page (such as a web page or document page).
  • C. hasCollection
    Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
  • D. hasCollectionContent
    Indicates that a collection includes or contains a specific item, element, or content as part of it.
  • E. hasCollectionAt
    Indicates that a collection or gathering of items, data, or resources is located, stored, or maintained at a specific place or context.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43785383881908ec61ddf5e2193cf completed April 19, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:40 a.m.