Triple
T8093951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Flink |
E188935
|
entity |
| Predicate | hasAPI |
P182
|
FINISHED |
| Object |
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
|
E711832
|
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: DataSet API | Statement: [Apache Flink, hasAPI, DataSet API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataSet API Context triple: [Apache Flink, hasAPI, DataSet API]
-
A.
DataView
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
-
B.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
-
C.
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.
-
D.
Ecdat
Ecdat is a term most likely associated with the name of Ecdat Park, suggesting it is a proper noun used in geographic or place naming.
-
E.
Open Data Index
Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
- 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: DataSet API Triple: [Apache Flink, hasAPI, DataSet API]
Generated description
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DataSet API Target entity description: DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
-
A.
DataView
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
-
B.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
-
C.
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.
-
D.
Ecdat
Ecdat is a term most likely associated with the name of Ecdat Park, suggesting it is a proper noun used in geographic or place naming.
-
E.
Open Data Index
Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb429089cc81909e4625f9cc7e305f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc64112138819096050975d707d8ee |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc68647cec81909736383fbe73d2e8 |
completed | April 1, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69b93bbc8190be2338182dd57b17 |
completed | April 1, 2026, 12:41 a.m. |
Created at: March 30, 2026, 5:30 p.m.