Triple

T11001950
Position Surface form Disambiguated ID Type / Status
Subject Oceansat-1 E260022 entity
Predicate successor P78 FINISHED
Object Oceansat-2 E262698 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: Oceansat-2 | Statement: [Oceansat-1, successor, Oceansat-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oceansat-2
Context triple: [Oceansat-1, successor, Oceansat-2]
  • A. Oceansat-2 chosen
    Oceansat-2 is an Indian Earth observation satellite designed primarily for oceanographic and atmospheric studies, including monitoring ocean color, surface winds, and coastal zones.
  • 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-3
    Oceansat-3 is an Indian Earth observation satellite designed to monitor ocean color, surface winds, and other marine and coastal parameters for applications in fisheries, coastal management, and climate studies.
  • D. Aqua satellite
    Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d760008190930228fa77b61b8b completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.