Triple

T15711290
Position Surface form Disambiguated ID Type / Status
Subject Le Transperceneige E380842 entity
Predicate hasPart P35 FINISHED
Object 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.
 E1173018 NE FINISHED

How this triple was built (4 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: [Le Transperceneige, hasPart, Terminus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminus
Context triple: [Le Transperceneige, hasPart, 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
    Terminus is the Roman god who presides over boundaries and boundary markers, symbolizing the protection and sanctity of property lines.
  • E. Terminus
    Terminus is a 1983 Doctor Who serial from the classic series, featuring the Fifth Doctor and marking the departure of the companion Nyssa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terminus
Triple: [Le Transperceneige, hasPart, Terminus]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terminus
Target entity description: 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.
  • 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
    Terminus is the Roman god who presides over boundaries and boundary markers, symbolizing the protection and sanctity of property lines.
  • E. Terminus
    Terminus is a 1983 Doctor Who serial from the classic series, featuring the Fifth Doctor and marking the departure of the companion Nyssa.
  • F. None of above. chosen

Provenance (5 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff762c0c548190a80392e1e83f68cc completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76fbcd188190b431bf277304aeea completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.