Triple
T4325511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flask-Migrate |
E96625
|
entity |
| Predicate | typicalDependencyOf |
P1022
|
FINISHED |
| Object | Flask web applications |
—
|
LITERAL 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: Flask web applications | Statement: [Flask-Migrate, typicalDependencyOf, Flask web applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDependencyOf Context triple: [Flask-Migrate, typicalDependencyOf, Flask web applications]
-
A.
hasDependency
chosen
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
B.
crownDependencyOf
Indicates that one entity is a Crown dependency that is self-governing but under the sovereignty or jurisdiction of another entity (typically a state or monarch).
-
C.
dependency
Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
typicalEndRelation
Indicates that one event, state, or process is the usual or characteristic endpoint or outcome of another.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3512ec18481908a7b5c29b3902b53 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.