Triple

T14469640
Position Surface form Disambiguated ID Type / Status
Subject Gert Fröbe E358801 entity
Predicate hasGermanNationalLibraryId P114771 FINISHED
Object 118535873 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: 118535873 | Statement: [Gert Fröbe, hasGermanNationalLibraryId, 118535873]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGermanNationalLibraryId
Context triple: [Gert Fröbe, hasGermanNationalLibraryId, 118535873]
  • A. hasShelfmarkSystem
    Indicates that an entity uses or is associated with a particular system or scheme for assigning shelfmarks or call numbers.
  • B. designatedAsNationalLibrary
    Indicates that an institution has been officially recognized or assigned the status of a national library by a governing authority.
  • C. libraryOfCongressAuthorityID
    Indicates that an entity is associated with a specific Library of Congress authority control identifier that uniquely standardizes its name or heading.
  • D. hasLccn
    Indicates that an entity is associated with a specific Library of Congress Control Number (LCCN) as its unique identifier in the Library of Congress catalog.
  • E. hasRahlfsNumber
    Indicates that an entity (typically a Septuagint manuscript or text unit) is associated with a specific Rahlfs catalog number used to identify it.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69de5c42bd3c81909a62acf30cc24d1e completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de610330a48190b558235a14c0dc9f completed April 14, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:20 a.m.