Triple

T9754570
Position Surface form Disambiguated ID Type / Status
Subject Axiom (spaceship) E236521 entity
Predicate operator P179 FINISHED
Object Buy n Large E818208 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: Buy n Large | Statement: [Axiom (spaceship), operator, Buy n Large]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buy n Large
Context triple: [Axiom (spaceship), operator, Buy n Large]
  • A. Buy n Large chosen
    Buy n Large is the massive, monopolistic megacorporation in Pixar's "WALL·E" universe that dominates global commerce and spacefaring operations.
  • B. The Big Store
    The Big Store is a 1941 Marx Brothers comedy film featuring their trademark slapstick, wordplay, and musical numbers set in a chaotic department store.
  • C. Buy n Large Corporation
    Buy n Large Corporation is the massive, monopolistic mega-corporation from Pixar's WALL·E that dominates Earth's economy and consumer life, ultimately overseeing humanity's evacuation into space.
  • D. The Big Box
    The Big Box is a children's book by Toni Morrison that explores themes of freedom and control through the story of three kids who are confined to a special room despite their good behavior.
  • E. The Big Box
    The Big Box is a colloquial nickname for the city of El Cajon in California, reflecting its box-like valley geography.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4321cc8190a5197d87ebfe38fb completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:24 p.m.