Triple

T3740855
Position Surface form Disambiguated ID Type / Status
Subject NASA spacecraft E79693 entity
Predicate includes P1393 FINISHED
Object Aqua satellite E90955 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: Aqua satellite | Statement: [NASA spacecraft, includes, Aqua satellite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqua satellite
Context triple: [NASA spacecraft, includes, 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. 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.
  • C. 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.
  • D. 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.
  • E. NOAA-20
    NOAA-20 is a U.S. polar-orbiting weather and environmental satellite operated by NOAA that provides critical data for global weather forecasting and climate 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb549490819084ebe69aae5ccf95 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db26adbc8190becd03db70e63112 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.