Triple

T400645
Position Surface form Disambiguated ID Type / Status
Subject Python Software Foundation E9272 entity
Predicate abbreviation P43 FINISHED
Object PSF
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
 E51019 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: PSF | Statement: [Python Software Foundation, abbreviation, PSF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PSF
Context triple: [Python Software Foundation, abbreviation, PSF]
  • A. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • B. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • C. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • D. PASP
    PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
  • E. PS
    PS is a high-energy circular particle accelerator at CERN used to boost protons and other particles for physics experiments.
  • 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: PSF
Triple: [Python Software Foundation, abbreviation, PSF]
Generated description
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PSF
Target entity description: PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • A. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • B. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • C. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • D. PASP
    PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
  • E. PS
    PS is a high-energy circular particle accelerator at CERN used to boost protons and other particles for physics experiments.
  • F. None of above. chosen

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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103f9f588190aabdf7f5d6422d09 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410e5ba148190a7fe0ee9861fb334 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41180ead48190a5edd2e66da413ba completed March 1, 2026, 10:14 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.