Triple

T9516189
Position Surface form Disambiguated ID Type / Status
Subject DAN on Curiosity rover E229530 entity
Predicate countryOfLeadDevelopment P79843 FINISHED
Object Russia E10011 NE FINISHED

How this triple was built (3 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: Russia | Statement: [DAN on Curiosity rover, countryOfLeadDevelopment, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [DAN on Curiosity rover, countryOfLeadDevelopment, Russia]
  • A. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • B. ROSSIYA
    ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
  • C. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • D. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • E. Rusguniae
    Rusguniae was an important ancient coastal city in the Roman province of Mauretania Caesariensis, located in what is now northern Algeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfLeadDevelopment
Context triple: [DAN on Curiosity rover, countryOfLeadDevelopment, Russia]
  • A. countryOfDeveloper chosen
    Indicates the country in which the developer of an entity (such as a product, software, or work) is based or originates.
  • B. placeOfDevelopment
    Indicates the location where something (such as a product, project, or work) was created, designed, or developed.
  • C. developmentCountry
    Indicates that one entity is a country that is in the process of economic, social, or infrastructural development, often relative to more industrialized nations.
  • D. developedInRegion
    Indicates that something was created, produced, or brought into existence within a specified geographic region.
  • E. countryOfFirstRelease
    Indicates the country in which a work (such as a film, game, or product) was first officially released.
  • F. None of above.

Provenance (4 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd987eefec8190b0db1928776bf02b completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14bf027b48190a73dca431632104c completed April 4, 2026, 5:35 p.m.
PD Predicate disambiguation batch_69cca56a3d088190bdc16670678fb6c6 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:58 p.m.