Triple
T12682702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER/Studio |
E302986
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | ER/Studio Data Architect |
E302986
|
NE 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: ER/Studio Data Architect | Statement: [ER/Studio, hasComponent, ER/Studio Data Architect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ER/Studio Data Architect Context triple: [ER/Studio, hasComponent, ER/Studio Data Architect]
-
A.
ER/Studio
chosen
ER/Studio is a data modeling and architecture tool used by database and enterprise architects to design, document, and manage complex data structures across diverse database platforms.
-
B.
Enterprise Manager
Enterprise Manager is an older Microsoft SQL Server administration tool that was superseded by SQL Server Management Studio for managing and developing SQL Server databases.
-
C.
DBA
DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
-
D.
DBA
DBA is the three-letter IATA airport code assigned to Dalbandin Airport in Pakistan.
-
E.
Master Data Services
Master Data Services is a SQL Server component for managing, governing, and maintaining consistent master data across an organization’s systems and applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.