Triple
T4325506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flask-Migrate |
E96625
|
entity |
| Predicate | requires |
P100
|
FINISHED |
| Object | Alembic |
E430982
|
NE FINISHED |
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: [Flask-Migrate, requires, Alembic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alembic Context triple: [Flask-Migrate, requires, Alembic]
-
A.
Alembic
chosen
Alembic is a lightweight database migration tool for SQLAlchemy used to manage and version schema changes in Python applications.
-
B.
Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
-
C.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
-
D.
Potin
Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
-
E.
Gorgophone
Gorgophone is a figure in Greek mythology, traditionally known as a daughter of Perseus and Andromeda and noted as one of the first women to remarry after being widowed.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3512ec18481908a7b5c29b3902b53 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4f309988190abda9b4e6a422260 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:13 p.m.