Triple

T10164618
Position Surface form Disambiguated ID Type / Status
Subject Terminalia E235174 entity
Predicate namedAfter P63 FINISHED
Object Terminus E846677 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: [Terminalia, namedAfter, Terminus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminus
Context triple: [Terminalia, namedAfter, Terminus]
  • A. Terminus
    Terminus was the original 19th-century name for the settlement that later became the city of Atlanta, Georgia.
  • B. 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.
  • C. Terminus
    Terminus is the remote frontier planet that serves as the capital of the Foundation in Isaac Asimov’s science fiction series.
  • D. Terminus chosen
    Terminus is the Roman god who presides over boundaries and boundary markers, symbolizing the protection and sanctity of property lines.
  • E. Terminus City
    Terminus City is the principal urban center and political hub of the planet Terminus in Isaac Asimov’s Foundation series, serving as the seat of the Foundation’s early government and activity.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6b96dc8190ae37d0d28e4c393b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354fc0a808190aa57b68708d91590 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9:10 p.m.