Triple

T12175047
Position Surface form Disambiguated ID Type / Status
Subject Sun–Earth L2 E290065 entity
Predicate operatedByAgencies P64555 FINISHED
Object ESA
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, science, and technology development on behalf of its European member states.
 E824664 NE FINISHED

How this triple was built (4 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: ESA | Statement: [Sun–Earth L2, operatedByAgencies, ESA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESA
Context triple: [Sun–Earth L2, operatedByAgencies, ESA]
  • A. ESA
    ESA is a major professional organization dedicated to advancing the science and practice of ecology.
  • B. ESA
    ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
  • C. ESA
    ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
  • D. ESA
    ESA is a landmark U.S. environmental law that provides for the conservation and protection of threatened and endangered plant and animal species and their habitats.
  • E. ESA
    ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ESA
Triple: [Sun–Earth L2, operatedByAgencies, ESA]
Generated description
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, science, and technology development on behalf of its European member states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESA
Target entity description: ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, science, and technology development on behalf of its European member states.
  • A. ESA chosen
    ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, science, and technology development on behalf of its European member states.
  • B. ESA
    ESA is a major professional organization dedicated to advancing the science and practice of ecology.
  • C. ESA
    ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
  • D. ESA
    ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
  • E. ESA
    ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
  • F. None of above.

Provenance (5 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91c5102848190ad652c3d6445f65a completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345a76d88190bb5ebadfb6345af1 completed May 2, 2026, 5:28 p.m.
NEDg Description generation batch_69f637575a9c8190b677b59e9739af49 completed May 2, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69f6380223d08190959e524ad146d0e0 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:50 p.m.