Triple

T265164
Position Surface form Disambiguated ID Type / Status
Subject TypeScript E5705 entity
Predicate license P181 FINISHED
Object Apache License 2.0 E13748 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: Apache License 2.0 | Statement: [TypeScript, license, Apache License 2.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apache License 2.0
Context triple: [TypeScript, license, Apache License 2.0]
  • A. Apache License 2.0 chosen
    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.
  • B. 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.
  • C. Python Software Foundation License
    The Python Software Foundation License is a permissive open-source software license that governs the distribution and use of the Python programming language and related software.
  • D. Creative Commons license
    A Creative Commons license is a standardized public copyright license that allows creators to grant the public permission to share, use, and sometimes modify their work under specified conditions.
  • E. Creative Commons License Chooser
    Creative Commons License Chooser is an online tool that guides users through selecting an appropriate Creative Commons license for their creative works based on their sharing and reuse preferences.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25d8f9bbc8190a13841e4de093a66 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ae45648190966804664bf4f861 completed March 1, 2026, 12:34 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.