Triple

T15829603
Position Surface form Disambiguated ID Type / Status
Subject COSMO-SkyMed E383834 entity
Predicate hasComponent P35 FINISHED
Object COSMO-SkyMed 4 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 4 | Statement: [COSMO-SkyMed, hasComponent, COSMO-SkyMed 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COSMO-SkyMed 4
Context triple: [COSMO-SkyMed, hasComponent, COSMO-SkyMed 4]
  • 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. 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.
  • C. Gaofen-4
    Gaofen-4 is a Chinese high-orbit optical Earth observation satellite designed for continuous, wide-area imaging to support disaster monitoring, environmental surveillance, and resource management.
  • D. GSAT-4
    GSAT-4 was an Indian communications and technology-demonstration satellite developed by ISRO that was lost during a launch failure in 2010.
  • E. Gaofen-14
    Gaofen-14 is a Chinese high-resolution Earth observation satellite used for detailed land surveying, mapping, and resource monitoring.
  • 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_69ffb03ac77081908f2b169d7d26b318 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:49 a.m.