Triple
T17520006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLModel |
E426657
|
entity |
| Predicate | firstClassCitizenIn |
P18021
|
FINISHED |
| Object | FastAPI ecosystem |
—
|
NE NERFINISHED |
How this triple was built (3 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: FastAPI ecosystem | Statement: [SQLModel, firstClassCitizenIn, FastAPI ecosystem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FastAPI ecosystem Context triple: [SQLModel, firstClassCitizenIn, FastAPI ecosystem]
-
A.
FastAPI
chosen
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
fastapi-plugins
fastapi-plugins is a collection of reusable extensions and utilities designed to enhance and modularize FastAPI applications.
-
C.
Uvicorn
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
-
D.
full-stack-fastapi-template
full-stack-fastapi-template is a production-ready project scaffold by Sebastián Ramírez (tiangolo) that provides a modern full-stack web application setup using FastAPI, React, and Docker.
-
E.
Pydantic
Pydantic is a Python library for data validation and settings management that uses type hints to parse, validate, and serialize data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstClassCitizenIn Context triple: [SQLModel, firstClassCitizenIn, FastAPI ecosystem]
-
A.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
-
B.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
C.
firstClassAwardedTo
Indicates that a first-class distinction, honor, or top-level award is given to a particular recipient.
-
D.
firstToFeature
chosen
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
-
E.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
- F. None of above.
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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.