Triple
T17519905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | full-stack-fastapi-template |
E426656
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | Alembic |
—
|
NE NERFINISHED |
How this triple was built (2 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: Alembic | Statement: [full-stack-fastapi-template, usesTechnology, Alembic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alembic Context triple: [full-stack-fastapi-template, usesTechnology, Alembic]
-
A.
Alembic
chosen
Alembic is a lightweight database migration tool for SQLAlchemy used to manage and version schema changes in Python applications.
-
B.
Alembic
Alembic is an open-source computer graphics interchange framework and file format used to efficiently store and transfer complex animated 3D geometry and scene data between different software tools.
-
C.
CRYSTAL BARREL
CRYSTAL BARREL is a high-precision particle physics detector experiment designed to study meson and baryon spectroscopy using antiproton-proton annihilations.
-
D.
Orniac
Orniac is a small rural village in southwestern France, situated in the scenic Célé Valley of the Lot department.
-
E.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 5:49 a.m.