Triple

T4277928
Position Surface form Disambiguated ID Type / Status
Subject Python Packaging Authority E97085 entity
Predicate maintains P1580 FINISHED
Object twine
Twine is a Python utility for securely uploading and managing Python packages on the Python Package Index (PyPI) and other package repositories.
E97088 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: twine | Statement: [Python Packaging Authority, maintains, twine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: twine
Context triple: [Python Packaging Authority, maintains, twine]
  • A. Sea of Stories
    The Sea of Stories is a vast, magical ocean of interwoven tales and narrative streams in Salman Rushdie’s children’s novel "Haroun and the Sea of Stories."
  • B. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • C. Tor Tiv
    Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
  • D. Figment
    Figment is a small purple dragon from Disney's Epcot theme park, known as the playful embodiment of imagination in the Journey Into Imagination attraction.
  • E. The Tale
    The Tale is a 2018 autobiographical drama film written and directed by Jennifer Fox, in which she reexamines a sexual relationship from her youth to confront the nature of memory and abuse.
  • 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: twine
Triple: [Python Packaging Authority, maintains, twine]
Generated description
Twine is a Python utility for securely uploading and managing Python packages on the Python Package Index (PyPI) and other package repositories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: twine
Target entity description: Twine is a Python utility for securely uploading and managing Python packages on the Python Package Index (PyPI) and other package repositories.
  • A. twine chosen
    Twine is a Python utility for securely uploading and managing Python packages on the Python Package Index (PyPI).
  • B. Sea of Stories
    The Sea of Stories is a vast, magical ocean of interwoven tales and narrative streams in Salman Rushdie’s children’s novel "Haroun and the Sea of Stories."
  • C. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • D. Tor Tiv
    Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
  • E. Figment
    Figment is a small purple dragon from Disney's Epcot theme park, known as the playful embodiment of imagination in the Journey Into Imagination attraction.
  • F. None of above.

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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501ef1388190b0c968b069014a59 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b3b52c8190ae7c05448faf5558 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b95083088190b0c993fa2fbc954c completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5b9b8afcc8190822cfd560d064590 completed March 14, 2026, 7:40 p.m.
Created at: March 12, 2026, 11:07 p.m.