Triple
T14394791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DataGrip |
E356925
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | Apache Hive SQL dialect |
E705291
|
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: Apache Hive SQL dialect | Statement: [DataGrip, supportsLanguage, Apache Hive SQL dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache Hive SQL dialect Context triple: [DataGrip, supportsLanguage, Apache Hive SQL dialect]
-
A.
HiveQL
chosen
HiveQL is a SQL-like query language designed for managing and analyzing large datasets stored in Apache Hive’s data warehouse system on Hadoop.
-
B.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
C.
Hive
The Hive is the Zerg’s ultimate tech structure in StarCraft, enabling advanced units, upgrades, and late-game capabilities.
-
D.
Hive Metastore
Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
-
E.
HiveServer2
HiveServer2 is a service component of Apache Hive that provides a secure, multi-client, and concurrent interface for executing Hive queries.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551b006c8190b84449f2e2b59b62 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.