Triple
T18705216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BulkInferrer |
E457350
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | TFX pipelines |
—
|
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: TFX pipelines | Statement: [BulkInferrer, compatibleWith, TFX pipelines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFX pipelines Context triple: [BulkInferrer, compatibleWith, TFX pipelines]
-
A.
Kubeflow Pipelines
Kubeflow Pipelines is a platform for building, deploying, and managing end-to-end machine learning workflows on Kubernetes using containerized components.
-
B.
TensorFlow Transform
TensorFlow Transform is a TensorFlow-based library for performing scalable, full-pass data preprocessing and feature engineering that can be applied consistently in both training and serving.
-
C.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
D.
Pipeline
Pipeline, commonly referring to the Banzai Pipeline, is a world-famous surf reef break on Oʻahu’s North Shore in Hawaii known for its powerful, hollow waves that break over a shallow coral reef.
-
E.
Pipeline
Pipeline is a contemporary stage play by Dominique Morisseau that explores race, class, and the school-to-prison pipeline through the story of an inner-city teacher and her son.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TFX pipelines Target entity description: TFX pipelines are end-to-end, production-ready machine learning workflows built with TensorFlow Extended that orchestrate data ingestion, validation, training, evaluation, and deployment.
-
A.
Kubeflow Pipelines
Kubeflow Pipelines is a platform for building, deploying, and managing end-to-end machine learning workflows on Kubernetes using containerized components.
-
B.
TensorFlow Transform
TensorFlow Transform is a TensorFlow-based library for performing scalable, full-pass data preprocessing and feature engineering that can be applied consistently in both training and serving.
-
C.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
D.
Pipeline
Pipeline, commonly referring to the Banzai Pipeline, is a world-famous surf reef break on Oʻahu’s North Shore in Hawaii known for its powerful, hollow waves that break over a shallow coral reef.
-
E.
Pipeline
Pipeline is a contemporary stage play by Dominique Morisseau that explores race, class, and the school-to-prison pipeline through the story of an inner-city teacher and her son.
- F. None of above. chosen
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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671665bc8190b9b4a4ce4ec5b2eb |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.