Triple

T4276403
Position Surface form Disambiguated ID Type / Status
Subject ASGI E97055 entity
Predicate usedByFramework P8459 FINISHED
Object Channels
Channels is a Django extension that adds support for handling WebSockets, long-running connections, and background tasks, enabling asynchronous and real-time capabilities in Django applications.
E426643 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: Channels | Statement: [ASGI, usedByFramework, Channels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channels
Context triple: [ASGI, usedByFramework, Channels]
  • A. Channel
    Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
  • B. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • C. CHANNEX
    CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
  • D. Dev channel
    The Dev channel is a pre-release version of Google Chrome intended for developers and early adopters to test upcoming features and changes before they reach more stable releases.
  • E. GA Channel
    GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
  • 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: Channels
Triple: [ASGI, usedByFramework, Channels]
Generated description
Channels is a Django extension that adds support for handling WebSockets, long-running connections, and background tasks, enabling asynchronous and real-time capabilities in Django applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Channels
Target entity description: Channels is a Django extension that adds support for handling WebSockets, long-running connections, and background tasks, enabling asynchronous and real-time capabilities in Django applications.
  • A. Channel
    Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
  • B. CHANNEX
    CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
  • C. CHANNEX
    CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
  • D. Dev channel
    The Dev channel is a pre-release version of Google Chrome intended for developers and early adopters to test upcoming features and changes before they reach more stable releases.
  • E. GA Channel
    GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501d677481909e7416a1d2b0008c 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.