Triple

T4325494
Position Surface form Disambiguated ID Type / Status
Subject Flask-Migrate E96625 entity
Predicate integratesWith P1075 FINISHED
Object Alembic
Alembic is a lightweight database migration tool for SQLAlchemy used to manage and version schema changes in Python applications.
 E430982 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: Alembic | Statement: [Flask-Migrate, integratesWith, Alembic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alembic
Context triple: [Flask-Migrate, integratesWith, Alembic]
  • A. Beaker
    Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
  • B. 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.
  • C. Potin
    Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
  • D. 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.
  • E. Corkscrew
    Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
  • 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: Alembic
Triple: [Flask-Migrate, integratesWith, Alembic]
Generated description
Alembic is a lightweight database migration tool for SQLAlchemy used to manage and version schema changes in Python applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alembic
Target entity description: Alembic is a lightweight database migration tool for SQLAlchemy used to manage and version schema changes in Python applications.
  • A. Beaker
    Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
  • B. 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.
  • C. Potin
    Potin was a French company best known for co-sponsoring the mid-20th-century professional cycling team Helyett–Potin.
  • D. 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.
  • E. Corkscrew
    Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
  • 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_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_69b5d09861a4819086a88bb42a8ea2e4 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d11a30a08190b9f58fadd2415559 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d194975481908b029ab106223c6c completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:13 p.m.