Triple

T17500175
Position Surface form Disambiguated ID Type / Status
Subject Trino E426164 entity
Predicate supports P516 FINISHED
Object Delta Lake NE NERFINISHED

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: Delta Lake | Statement: [Trino, supports, Delta Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delta Lake
Context triple: [Trino, supports, Delta Lake]
  • A. Delta Lake chosen
    Delta Lake is an open-source storage layer that brings ACID transactions, schema enforcement, and reliability to data lakes built on top of formats like Apache Parquet.
  • B. Delta Lake storage layer
    Delta Lake storage layer is an open-source data storage framework that brings ACID transactions, schema enforcement, and reliability to data lakes, particularly in big data and analytics environments.
  • C. Hudi
    Hudi is an open-source data lake storage framework that enables efficient upserts, deletes, and incremental processing on large analytical datasets, commonly used on platforms like Hadoop and cloud object stores.
  • D. Apache Iceberg
    Apache Iceberg is an open table format for huge analytic datasets that enables reliable, high-performance querying and data management in data lake environments.
  • E. Kinetica
    Kinetica is a proprietary game engine developed by Sony Computer Entertainment, known for powering several early PlayStation 2 titles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452112ff0819089c2951baba90102 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.