Triple

T10892157
Position Surface form Disambiguated ID Type / Status
Subject Atlas Fútbol Club E257204 entity
Predicate shortName P43 FINISHED
Object Atlas E257204 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: Atlas | Statement: [Atlas Fútbol Club, shortName, Atlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas
Context triple: [Atlas Fútbol Club, shortName, Atlas]
  • A. Atlas
    Atlas is a Titan from Greek mythology best known for bearing the weight of the heavens on his shoulders as punishment from the gods.
  • B. Atlas
    Atlas is a family of American expendable launch vehicles originally developed from a ballistic missile program and widely used to place satellites and spacecraft into orbit.
  • C. Atlas chosen
    Atlas is a professional Mexican football club based in Guadalajara, Jalisco, known for its historic presence in Liga MX.
  • D. Atlas
    Atlas is a monumental ongoing project by German artist Gerhard Richter, consisting of thousands of photographs, sketches, and collages that document and inform his artistic practice.
  • E. Atlas
    Atlas is one of the two cooperative testing robots in the puzzle-platform video game Portal 2, known for assisting in solving test chambers designed by GLaDOS.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154c05bf081909d1892c6c81a5f2c completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:21 p.m.