Triple

T21573103
Position Surface form Disambiguated ID Type / Status
Subject NASA space missions E532330 entity
Predicate hasComponent P35 FINISHED
Object Terra 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: Terra satellite | Statement: [NASA space missions, hasComponent, Terra satellite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terra satellite
Context triple: [NASA space missions, hasComponent, Terra satellite]
  • A. Terra satellite chosen
    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.
  • B. Landsat 5
    Landsat 5 was a long-lived Earth observation satellite that provided decades of multispectral imagery for environmental monitoring and land-use analysis.
  • C. Landsat 4
    Landsat 4 was an Earth observation satellite in the Landsat program that significantly improved global land imaging with enhanced sensors and higher-resolution data.
  • D. Landsat 3
    Landsat 3 was an early U.S. Earth observation satellite in the Landsat program, used primarily for multispectral imaging of the planet’s surface in the late 1970s and early 1980s.
  • E. 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.
  • 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.