Triple

T8264696
Position Surface form Disambiguated ID Type / Status
Subject Sun–Earth L1 Lagrange point E193272 entity
Predicate primaryUseAgency P81578 FINISHED
Object ESA E14761 NE FINISHED

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: ESA | Statement: [Sun–Earth L1 Lagrange point, primaryUseAgency, ESA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESA
Context triple: [Sun–Earth L1 Lagrange point, primaryUseAgency, ESA]
  • A. 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.
  • B. ESA
    ESA is a major professional organization dedicated to advancing the science and practice of ecology.
  • C. ESA
    ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
  • D. ESA
    ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
  • E. European Space Agency chosen
    The European Space Agency is an intergovernmental organization dedicated to space exploration and research, coordinating the space activities of its European member states and partnering with major space agencies worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb793aa8f08190b20b3616ceb9bec7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.