Triple

T3055057
Position Surface form Disambiguated ID Type / Status
Subject BepiColombo E60459 entity
Predicate launchSite P4384 FINISHED
Object Kourou E155694 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: Kourou | Statement: [BepiColombo, launchSite, Kourou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kourou
Context triple: [BepiColombo, launchSite, Kourou]
  • A. Kourou chosen
    Kourou is a coastal town in French Guiana best known as the site of the Guiana Space Centre, a major European spaceport.
  • B. Guiana Space Centre
    The Guiana Space Centre is a major European spaceport located in French Guiana, used for launching a wide range of commercial and scientific missions including flagship observatories.
  • C. Baikonur
    Baikonur is a town in Kazakhstan historically associated with the Soviet and Russian space programs, giving its name to the nearby Baikonur Cosmodrome.
  • D. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • E. Horizonte
    Horizonte is a municipality in the state of Ceará in northeastern Brazil, known for its growing industrial sector and proximity to the Fortaleza metropolitan area.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf6b9948190bc957bfd1579c471 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef03425c8190a44486ab563c210f completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:02 p.m.