Triple

T12271432
Position Surface form Disambiguated ID Type / Status
Subject Cluster II E292478 entity
Predicate spaceAgency P10670 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 among its 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: [Cluster II, spaceAgency, ESA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESA
Context triple: [Cluster II, spaceAgency, 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: [Cluster II, spaceAgency, 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 among its 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 the exploration and use of space for scientific research, Earth observation, telecommunications, and technological development among its 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cee7158819093fff74db6867896 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555ab68881908813e45548281df3 completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f6566dccc0819085e059c7b0288f6c completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:52 p.m.