Triple

T9404998
Position Surface form Disambiguated ID Type / Status
Subject Atlas Next Generation E226562 entity
Predicate hasRelationshipTo P33476 FINISHED
Object Atlas E795940 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 Next Generation, hasRelationshipTo, Atlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas
Context triple: [Atlas Next Generation, hasRelationshipTo, 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
    Atlas is a professional Mexican football club based in Guadalajara, Jalisco, known for its historic presence in Liga MX.
  • D. 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.
  • E. Atlas chosen
    Atlas is a comprehensive digital mapping and geographic information system platform that serves as the foundational framework for applications like Electric Atlas (2024).
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c125dc8190a6438cf0ee23e7a9 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102414e8819097a1bb58a3ded630 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:46 p.m.