Triple

T21573104
Position Surface form Disambiguated ID Type / Status
Subject NASA space missions E532330 entity
Predicate hasComponent P35 FINISHED
Object Aqua satellite NE NERFINISHED

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: Aqua satellite | Statement: [NASA space missions, hasComponent, Aqua satellite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqua satellite
Context triple: [NASA space missions, hasComponent, Aqua satellite]
  • A. Aqua satellite chosen
    Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
  • B. Aist-2D satellite
    The Aist-2D satellite is a Russian Earth observation spacecraft designed for high-resolution imaging and scientific research in low Earth orbit.
  • C. Oceansat-1
    Oceansat-1 is an Indian remote sensing satellite dedicated to oceanographic and atmospheric studies, including monitoring ocean color, surface winds, and related marine resources.
  • D. Oceansat-2
    Oceansat-2 is an Indian Earth observation satellite designed primarily for oceanographic and atmospheric studies, including monitoring ocean color, surface winds, and coastal zones.
  • E. Terra satellite
    Terra is a flagship NASA Earth observation satellite that carries multiple instruments to monitor the planet’s climate, land, oceans, and atmosphere from polar orbit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9ce230c81909e12bd59497e2237 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.