Triple

T4099461
Position Surface form Disambiguated ID Type / Status
Subject Don Diego Vega E87903 entity
Predicate familyName P18 FINISHED
Object Vega E373825 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: Vega | Statement: [Don Diego Vega, familyName, Vega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vega
Context triple: [Don Diego Vega, familyName, Vega]
  • A. 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.
  • B. Vega chosen
    Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
  • C. Sirius
    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.
  • D. Aldebaran
    Aldebaran is a bright orange giant star in the constellation Taurus, known as one of the most prominent stars in the night sky.
  • E. Betelgeuse
    Betelgeuse is a massive red supergiant star in the constellation Orion, notable for its brightness and status as a likely future supernova.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0d9c508190b8aedf83f3310513 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7585bc81909dc2c02e60a55def completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.