Triple

T19435495
Position Surface form Disambiguated ID Type / Status
Subject Oracle Database In-Memory E486215 entity
Predicate supportsFeature P203 FINISHED
Object In-Memory FastStart
In-Memory FastStart is an Oracle Database In-Memory feature that accelerates database startup by persisting in-memory columnar data to disk for rapid repopulation after restarts.
E486215 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: In-Memory FastStart | Statement: [Oracle Database In-Memory, supportsFeature, In-Memory FastStart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In-Memory FastStart
Context triple: [Oracle Database In-Memory, supportsFeature, In-Memory FastStart]
  • A. Oracle Database In-Memory
    Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
  • B. xVelocity in-memory analytics engine
    xVelocity in-memory analytics engine is a columnar, in-memory data processing engine developed by Microsoft to enable fast, compressed, and scalable analytical querying for business intelligence tools.
  • C. SPICE in-memory engine
    SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
  • D. Fast File System
    Fast File System is a high-performance disk file system used by AmigaOS to improve speed and efficiency over its earlier standard file system.
  • E. H-Store
    H-Store is a pioneering in-memory, distributed OLTP database system designed for high-throughput transaction processing on modern multicore hardware.
  • 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: In-Memory FastStart
Triple: [Oracle Database In-Memory, supportsFeature, In-Memory FastStart]
Generated description
In-Memory FastStart is an Oracle Database In-Memory feature that accelerates database startup by persisting in-memory columnar data to disk for rapid repopulation after restarts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: In-Memory FastStart
Target entity description: In-Memory FastStart is an Oracle Database In-Memory feature that accelerates database startup by persisting in-memory columnar data to disk for rapid repopulation after restarts.
  • A. Oracle Database In-Memory chosen
    Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
  • B. xVelocity in-memory analytics engine
    xVelocity in-memory analytics engine is a columnar, in-memory data processing engine developed by Microsoft to enable fast, compressed, and scalable analytical querying for business intelligence tools.
  • C. SPICE in-memory engine
    SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
  • D. Fast File System
    Fast File System is a high-performance disk file system used by AmigaOS to improve speed and efficiency over its earlier standard file system.
  • E. H-Store
    H-Store is a pioneering in-memory, distributed OLTP database system designed for high-throughput transaction processing on modern multicore hardware.
  • F. None of above.

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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6336001488190a05f372779711ed2 completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733ddcf108190a92718695326f49d completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735dd1b6481909ab747f425f4ec76 completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a07367c0edc8190b6cea3c3aa126868 completed May 15, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:37 p.m.