Triple

T22615264
Position Surface form Disambiguated ID Type / Status
Subject Brazilian space program E558126 entity
Predicate notableProject P4 FINISHED
Object CBERS-1 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: CBERS-1 | Statement: [Brazilian space program, notableProject, CBERS-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBERS-1
Context triple: [Brazilian space program, notableProject, CBERS-1]
  • A. CBERS satellites chosen
    The CBERS satellites are a series of Earth observation spacecraft jointly developed by Brazil and China to provide remote sensing data for environmental monitoring, agriculture, and land management.
  • B. Gaofen-1
    Gaofen-1 is a Chinese high-resolution Earth observation satellite used for applications such as land resource surveying, environmental monitoring, and disaster assessment.
  • C. Gaofen-11
    Gaofen-11 is a Chinese high-resolution Earth observation satellite used for detailed land imaging, mapping, and reconnaissance applications.
  • D. Gaofen-15
    Gaofen-15 is a Chinese high-resolution Earth observation satellite used for detailed imaging to support applications such as land surveying, environmental monitoring, and disaster management.
  • 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 (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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167edec2481909c2f06607b3cb8f6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.