Triple

T7969972
Position Surface form Disambiguated ID Type / Status
Subject Dok-Ondar's Den of Antiquities E185297 entity
Predicate universeCanonStatus P58920 FINISHED
Object Star Wars canon location 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: Star Wars canon location | Statement: [Dok-Ondar's Den of Antiquities, universeCanonStatus, Star Wars canon location]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: universeCanonStatus
Context triple: [Dok-Ondar's Den of Antiquities, universeCanonStatus, Star Wars canon location]
  • A. in-universeStatus chosen
    Indicates the canonical status or role that something holds within the fictional universe or narrative continuity itself.
  • B. hasExpandedUniverse
    Indicates that a work, franchise, or narrative has additional stories, media, or content that extend its original universe beyond the primary canon.
  • C. hasFictionalUniverseElement
    Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
  • D. eraInCanon
    Indicates that a subject belongs to, occurs within, or is classified as part of a specific era defined in a canon or fictional continuity.
  • E. portraysFictionalUniverse
    Indicates that one entity depicts, represents, or presents the fictional universe in which another entity is 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd304dc8190b9feee5e17fc66db completed March 31, 2026, 3:13 a.m.
PD Predicate disambiguation batch_69cb047a8e4c81909b79e0f0bf56440c completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:13 p.m.