Triple

T816307
Position Surface form Disambiguated ID Type / Status
Subject FastAPI E17658 entity
Predicate supports P516 FINISHED
Object ASGI
ASGI (Asynchronous Server Gateway Interface) is a Python standard for asynchronous web servers and applications that enables high-performance, concurrent web frameworks and services.
 E97055 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: ASGI | Statement: [FastAPI, supports, ASGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASGI
Context triple: [FastAPI, supports, ASGI]
  • A. FastAPI
    FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
  • B. Flask
    Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
  • C. Flask
    Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • D. Django
    Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design for building secure, scalable web applications.
  • E. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • 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: ASGI
Triple: [FastAPI, supports, ASGI]
Generated description
ASGI (Asynchronous Server Gateway Interface) is a Python standard for asynchronous web servers and applications that enables high-performance, concurrent web frameworks and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASGI
Target entity description: ASGI (Asynchronous Server Gateway Interface) is a Python standard for asynchronous web servers and applications that enables high-performance, concurrent web frameworks and services.
  • A. FastAPI
    FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
  • B. Flask
    Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
  • C. Flask
    Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • D. Django
    Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design for building secure, scalable web applications.
  • E. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • 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_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.
NEDg Description generation batch_69a78bd0a1d48190907434a17853dfb1 completed March 4, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_69a78c3a57d88190a994ed44bcb2d8d1 completed March 4, 2026, 1:34 a.m.
Created at: March 1, 2026, 7:38 p.m.