Triple

T8141107
Position Surface form Disambiguated ID Type / Status
Subject Sirius E190097 entity
Predicate hasComponent P35 FINISHED
Object Sirius A E190097 NE 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: Sirius A | Statement: [Sirius, hasComponent, Sirius A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirius A
Context triple: [Sirius, hasComponent, Sirius A]
  • A. Sirius chosen
    Sirius is the brightest star in the night sky, a nearby binary star system in the constellation Canis Major that has featured prominently in astronomy, mythology, and literature.
  • B. Vega
    Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
  • C. Vega
    Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • D. Vega
    Vega is a residential locality in Haninge Municipality, Stockholm County, Sweden, known for its commuter rail station and growing suburban housing developments.
  • E. Alpha Canis Majoris
    Alpha Canis Majoris is the brightest star in the night sky, located in the constellation Canis Major and commonly known as Sirius.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4442299881909db56f7475cbb99a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced2bba08819080c4a2bb8c9ba1f2 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:36 p.m.