Triple

T21260835
Position Surface form Disambiguated ID Type / Status
Subject Expedition 32 E523993 entity
Predicate spaceAgencyParticipation P42119 FINISHED
Object ESA
ESA (European Space Agency) is an intergovernmental organization dedicated to the exploration and use of space for scientific research, Earth observation, telecommunications, and technological development in Europe.
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: [Expedition 32, spaceAgencyParticipation, ESA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESA
Context triple: [Expedition 32, spaceAgencyParticipation, 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 professional scientific society dedicated to the study of insects and the advancement of entomological science.
  • E. ESA
    ESA is the EFTA Surveillance Authority, the body responsible for monitoring compliance with European Economic Area rules in the EFTA states.
  • 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: [Expedition 32, spaceAgencyParticipation, ESA]
Generated description
ESA (European Space Agency) is an intergovernmental organization dedicated to the exploration and use of space for scientific research, Earth observation, telecommunications, and technological development in Europe.
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 the exploration and use of space for scientific research, Earth observation, telecommunications, and technological development in Europe.
  • 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 the EFTA Surveillance Authority, the body responsible for monitoring compliance with European Economic Area rules in the EFTA states.
  • C. ESA
    ESA is a professional scientific society dedicated to the study of insects and the advancement of entomological science.
  • D. ESA
    ESA is a major professional organization dedicated to advancing the science and practice of ecology.
  • E. ESA
    ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e6a0448190ad412a8fcbbd8ff0 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0997f9ae4c81909793e59d89082abb completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998d6b37881908a1b09afc1f67746 completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0999884e0481909b7ea54cd7ef87b5 completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 3:59 p.m.