Triple

T15829601
Position Surface form Disambiguated ID Type / Status
Subject COSMO-SkyMed E383834 entity
Predicate hasComponent P35 FINISHED
Object COSMO-SkyMed 2 E383834 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: COSMO-SkyMed 2 | Statement: [COSMO-SkyMed, hasComponent, COSMO-SkyMed 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COSMO-SkyMed 2
Context triple: [COSMO-SkyMed, hasComponent, COSMO-SkyMed 2]
  • A. COSMO-SkyMed chosen
    COSMO-SkyMed is an Italian Earth observation satellite constellation that uses synthetic aperture radar to provide high-resolution images for civilian and military applications worldwide.
  • B. RADARSAT-2
    RADARSAT-2 is a Canadian Earth observation satellite equipped with advanced synthetic aperture radar (SAR) technology used for environmental monitoring, resource management, and surveillance.
  • C. SCISAT-1
    SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
  • D. CASSIOPE satellite
    CASSIOPE satellite is a Canadian multi-purpose spacecraft that combines scientific research of Earth’s upper atmosphere with a commercial communications payload.
  • E. Arconsat
    Arconsat is a small rural commune in central France, located in the Puy-de-Dôme department of the Auvergne-Rhône-Alpes region.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e62aba8819090978801f4df73fe completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa135be84819084f7c20c2bc01b47 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.