Triple

T11187816
Position Surface form Disambiguated ID Type / Status
Subject Atlas II E264718 entity
Predicate predecessor P97 FINISHED
Object Atlas I E52125 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 I | Statement: [Atlas II, predecessor, Atlas I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas I
Context triple: [Atlas II, predecessor, Atlas I]
  • A. Atlas
    Atlas is a comprehensive digital mapping and geographic information system platform that serves as the foundational framework for applications like Electric Atlas (2024).
  • B. Atlas
    Atlas is a highly advanced humanoid robot developed by Boston Dynamics for DARPA, designed for complex, human-like mobility and manipulation in disaster-response and research environments.
  • C. Atlas chosen
    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.
  • D. Atlas
    Atlas is a professional Mexican football club based in Guadalajara, Jalisco, known for its historic presence in Liga MX.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ad143481908d5dacc95837ecfd completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483df3c74819090fc6ef26f785539 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.