Triple

T825429
Position Surface form Disambiguated ID Type / Status
Subject SciPy E17842 entity
Predicate license P181 FINISHED
Object BSD license E72237 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: BSD license | Statement: [SciPy, license, BSD license]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSD license
Context triple: [SciPy, license, BSD license]
  • A. BSD license chosen
    The BSD license is a family of permissive free software licenses that allow redistribution and use with minimal restrictions, including in proprietary software.
  • B. MIT License
    The MIT License is a widely used, permissive free software license that allows reuse with minimal restrictions, including in proprietary software.
  • C. Apache License 2.0
    Apache License 2.0 is a permissive open-source software license from the Apache Software Foundation that allows broad use, modification, and distribution of licensed code with minimal restrictions.
  • D. Apache License 1.1
    Apache License 1.1 is an older, permissive open-source software license from the Apache Software Foundation that preceded and was later replaced by Apache License 2.0.
  • E. GNU General Public License
    The GNU General Public License is a widely used free software license that guarantees users the freedoms to run, study, share, and modify software while requiring that derivative works remain similarly open.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7eb0a08190889463edb0e7bd59 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c0144a70819098aa4872a02b62b7 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:38 p.m.