Triple
T18204128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugging Face |
E435862
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Datasets library |
—
|
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: Datasets library | Statement: [Hugging Face, notableProduct, Datasets library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Datasets library Context triple: [Hugging Face, notableProduct, Datasets library]
-
A.
Hugging Face Datasets
chosen
Hugging Face Datasets is an open-source library that provides a large collection of ready-to-use datasets and efficient data loading tools for machine learning and natural language processing workflows.
-
B.
TensorFlow Datasets
TensorFlow Datasets is a collection of ready-to-use, standardized datasets for machine learning and deep learning workflows in TensorFlow and other frameworks.
-
C.
Open Data Index
Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
-
D.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
-
E.
OS OpenData
OS OpenData is a collection of free, publicly available digital mapping and geographic datasets released by Ordnance Survey for use in analysis, applications, and research.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e221bbbc819088a7559a46b7d4e7 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.