Triple

T25075860
Position Surface form Disambiguated ID Type / Status
Subject Barrayar E628045 entity
Predicate originalSerializationVenue P166349 FINISHED
Object Analog Science Fiction and Fact 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: Analog Science Fiction and Fact | Statement: [Barrayar, originalSerializationVenue, Analog Science Fiction and Fact]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalSerializationVenue
Context triple: [Barrayar, originalSerializationVenue, Analog Science Fiction and Fact]
  • A. serializationVenue chosen
    Indicates the publication outlet (such as a magazine, journal, or platform) where a work is released in serialized form.
  • B. originalColumnVenue
    Indicates that one entity is the venue originally associated with a particular column or column-like item in another entity.
  • C. formerVenueComponentOf
    Indicates that a venue previously functioned as a component or part of a larger venue or venue complex, but no longer holds that status.
  • D. legacyVenue
    Indicates that a venue has historical or long-standing significance, often preserved or recognized due to its past importance or enduring role.
  • E. recordSettingVenueFor
    Indicates the venue or location where a particular record (such as a performance, achievement, or measurement) was set.
  • 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_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 18, 2026, 6:21 a.m.