Triple

T10734786
Position Surface form Disambiguated ID Type / Status
Subject Maera E253165 entity
Predicate hasAncestor P369 FINISHED
Object Atlas E18778 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: [Maera, hasAncestor, Atlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas
Context triple: [Maera, hasAncestor, Atlas]
  • A. Atlas chosen
    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 monumental ongoing project by German artist Gerhard Richter, consisting of thousands of photographs, sketches, and collages that document and inform his artistic practice.
  • 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 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71021cccc8190ba2d3bbd7d50e2a7 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:14 p.m.