Triple
T295075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 NHL All-Star Game |
E6074
|
entity |
| Predicate | broadcasterCanada |
P833
|
FINISHED |
| Object |
RDS
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
|
E37965
|
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: RDS | Statement: [1997 NHL All-Star Game, broadcasterCanada, RDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RDS Context triple: [1997 NHL All-Star Game, broadcasterCanada, RDS]
-
A.
MariaDB
MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
-
B.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
C.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
D.
IBM DB2
IBM DB2 is a family of enterprise-grade relational database management systems developed by IBM, widely used for high-performance, scalable data storage and transaction processing across mainframe, distributed, and cloud environments.
-
E.
Azure SQL Database
Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
- 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: RDS Triple: [1997 NHL All-Star Game, broadcasterCanada, RDS]
Generated description
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RDS Target entity description: RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
A.
MariaDB
MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
-
B.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
C.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
D.
IBM DB2
IBM DB2 is a family of enterprise-grade relational database management systems developed by IBM, widely used for high-performance, scalable data storage and transaction processing across mainframe, distributed, and cloud environments.
-
E.
Azure SQL Database
Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee002dd0819080f0841eb9107ee3 |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a5d514388190ac0f748a406ae43e |
completed | March 1, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69a3a63b33408190bea3a099165d1233 |
completed | March 1, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a69b4e488190ae092d6989c75556 |
completed | March 1, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.