Triple

T22649844

Position	Surface form	Disambiguated ID	Type / Status
Subject	Meta Open Source team	`E559062`	entity
Predicate	notableProject	`P4`	FINISHED
Object	Presto (originally developed at Facebook)	`—`	NE NERFINISHED

How this triple was built (3 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: Presto (originally developed at Facebook) | Statement: [Meta Open Source team, notableProject, Presto (originally developed at Facebook)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Presto (originally developed at Facebook)
Context triple: [Meta Open Source team, notableProject, Presto (originally developed at Facebook)]

A. Apache Impala
Apache Impala is a massively parallel, SQL-on-Hadoop query engine designed for low-latency, interactive analysis of large-scale data stored in distributed systems.
B. Apache Drill
Apache Drill is an open-source, schema-free SQL query engine designed for interactive analysis of large-scale datasets across diverse data sources.
C. 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.
D. Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
E. Vertica
Vertica is a high-performance, column-oriented analytical database system designed for large-scale data warehousing and real-time analytics.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Presto (originally developed at Facebook)
Target entity description: Presto (originally developed at Facebook) is a high-performance, distributed SQL query engine designed for interactive analytics on large-scale data across heterogeneous data sources.

A. Apache Impala
Apache Impala is a massively parallel, SQL-on-Hadoop query engine designed for low-latency, interactive analysis of large-scale data stored in distributed systems.
B. Apache Drill
Apache Drill is an open-source, schema-free SQL query engine designed for interactive analysis of large-scale datasets across diverse data sources.
C. 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.
D. Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
E. Vertica
Vertica is a high-performance, column-oriented analytical database system designed for large-scale data warehousing and real-time analytics.
F. None of above. chosen

Provenance (2 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_69e245489dd88190b1f674acf61c8769`	completed	April 17, 2026, 2:35 p.m.
NER	Named-entity recognition	`batch_69f1703b40b88190aec5cf2fa28bfcbf`	completed	April 29, 2026, 2:43 a.m.

Created at: April 17, 2026, 3:05 p.m.