Triple
T2561530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OLE DB |
E57250
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
ADO
ADO (ActiveX Data Objects) is a high-level Microsoft data access technology that provides a simplified programming interface for interacting with databases and other data sources.
|
E182224
|
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: ADO | Statement: [OLE DB, relatedTo, ADO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADO Context triple: [OLE DB, relatedTo, ADO]
-
A.
ADB
ADB is a regional multilateral development bank that promotes economic growth and cooperation in Asia and the Pacific through loans, grants, and technical assistance.
-
B.
ADB
ADB (Apple Desktop Bus) is a now-obsolete serial interface developed by Apple for connecting low-speed input devices like keyboards and mice to Macintosh computers.
-
C.
ADO.NET
ADO.NET is a data access framework in the .NET ecosystem that enables applications to connect to, retrieve, manipulate, and update data from various data sources such as relational databases and XML.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
- 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: ADO Triple: [OLE DB, relatedTo, ADO]
Generated description
ADO (ActiveX Data Objects) is a high-level Microsoft data access technology that provides a simplified programming interface for interacting with databases and other data sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ADO Target entity description: ADO (ActiveX Data Objects) is a high-level Microsoft data access technology that provides a simplified programming interface for interacting with databases and other data sources.
-
A.
ADB
ADB is a regional multilateral development bank that promotes economic growth and cooperation in Asia and the Pacific through loans, grants, and technical assistance.
-
B.
ADB
ADB (Apple Desktop Bus) is a now-obsolete serial interface developed by Apple for connecting low-speed input devices like keyboards and mice to Macintosh computers.
-
C.
ADO.NET
chosen
ADO.NET is a data access framework in the .NET ecosystem that enables applications to connect to, retrieve, manipulate, and update data from various data sources such as relational databases and XML.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
- F. None of above.
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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd336183c819084ed7de8ccc4c548 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d233dbc81909feb1127cffb027f |
completed | March 9, 2026, 11:52 p.m. |
| NEDg | Description generation | batch_69af60e78b488190bdd01ee77ed3648b |
completed | March 10, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af614ad2408190955c430cb7a7e302 |
completed | March 10, 2026, 12:09 a.m. |
Created at: March 6, 2026, 9:48 p.m.