Triple

T15946763
Position Surface form Disambiguated ID Type / Status
Subject Arkady Darell E386704 entity
Predicate homePlanet P16439 FINISHED
Object Terminus E735900 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: Terminus | Statement: [Arkady Darell, homePlanet, Terminus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminus
Context triple: [Arkady Darell, homePlanet, Terminus]
  • A. Terminus
    Terminus is the final installment of the French post-apocalyptic graphic novel series "Le Transperceneige," continuing its bleak exploration of class struggle aboard a perpetually moving train.
  • B. Terminus
    Terminus was the original 19th-century name for the settlement that later became the city of Atlanta, Georgia.
  • C. Terminus
    "Terminus" is a poem by Seamus Heaney, featured in his collection *The Haw Lantern*, that reflects on themes of borders, identity, and historical division.
  • D. Terminus chosen
    Terminus is the remote frontier planet that serves as the capital of the Foundation in Isaac Asimov’s science fiction series.
  • E. Terminus
    Terminus is the Roman god who presides over boundaries and boundary markers, symbolizing the protection and sanctity of property lines.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d1a4c08190afc325491ba38870 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.