Triple

T30072572
Position Surface form Disambiguated ID Type / Status
Subject Mahler 10 E764224 entity
Predicate autographLocation P18545 FINISHED
Object Österreichische Nationalbibliothek NE NERFINISHED

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: Österreichische Nationalbibliothek | Statement: [Mahler 10, autographLocation, Österreichische Nationalbibliothek]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: autographLocation
Context triple: [Mahler 10, autographLocation, Österreichische Nationalbibliothek]
  • A. signatureLocation chosen
    Indicates the place or position where a signature is written, recorded, or otherwise applied.
  • B. signedArtist
    Indicates that an artist has entered into a formal contract or agreement with a label, company, or representative.
  • C. marksLocationOf
    Indicates that one entity serves as a marker, sign, or indicator specifying the location of another entity.
  • D. apogeeLocation
    Indicates the location in space where an orbiting object is at its farthest point (apogee) from the body it orbits.
  • E. hasSignFor
    Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
  • 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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d3a1a048190a40fef6e237dcf90 completed May 2, 2026, 10:39 p.m.
PD Predicate disambiguation batch_69f673c664f08190b4d66cdc305e10db completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:01 p.m.