Triple

T15194086
Position Surface form Disambiguated ID Type / Status
Subject SMiLE E363096 entity
Predicate hasPart P35 FINISHED
Object Vega-Tables (Early Takes) E1142152 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-Tables (Early Takes) | Statement: [SMiLE, hasPart, Vega-Tables (Early Takes)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vega-Tables (Early Takes)
Context triple: [SMiLE, hasPart, Vega-Tables (Early Takes)]
  • A. Vega-Tables chosen
    Vega-Tables is a component of the SMiLE system that provides structured, table-based data visualization or representation capabilities.
  • B. Vega signal project
    The Vega signal project is a fictional scientific initiative in the novel and film "Contact," centered on investigating a mysterious extraterrestrial radio transmission detected from the star Vega.
  • C. Tabularium
    The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
  • D. Prutenic Tables
    The Prutenic Tables were influential 16th-century astronomical tables based on Copernican heliocentric theory, used for predicting planetary positions before being superseded by more accurate works like the Rudolphine Tables.
  • E. Vega$
    Vega$ is a television role played by American actor Robert Urich, best known for his work in popular TV series during the 1970s and 1980s.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067eb710819085211fd05d5fa5f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3304464819083732a23e650c649 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.