Triple

T816381
Position Surface form Disambiguated ID Type / Status
Subject NumPy E17659 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: [NumPy, license, BSD license]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSD license
Context triple: [NumPy, 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab621d2c819083f10bff4f66c482 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8d1a448190be8494fa2776615a completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.