Triple

T15313863
Position Surface form Disambiguated ID Type / Status
Subject Caffe E366103 entity
Predicate usesDataFormat P8462 FINISHED
Object LMDB
LMDB (Lightning Memory-Mapped Database) is a fast, memory-mapped key-value database library widely used in high-performance applications and machine learning frameworks.
 E1150790 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: LMDB | Statement: [Caffe, usesDataFormat, LMDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LMDB
Context triple: [Caffe, usesDataFormat, LMDB]
  • A. LevelDB
    LevelDB is a fast, lightweight, open-source key–value storage library developed by Google, designed for high-performance reads and writes using a log-structured merge-tree architecture.
  • B. BSTDB
    BSTDB is a regional multilateral development bank that finances projects to promote economic development and cooperation among Black Sea region member countries.
  • C. RocksDB
    RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
  • D. LSM
    LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
  • E. Yama LSM
    Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
  • 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: LMDB
Triple: [Caffe, usesDataFormat, LMDB]
Generated description
LMDB (Lightning Memory-Mapped Database) is a fast, memory-mapped key-value database library widely used in high-performance applications and machine learning frameworks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LMDB
Target entity description: LMDB (Lightning Memory-Mapped Database) is a fast, memory-mapped key-value database library widely used in high-performance applications and machine learning frameworks.
  • A. LevelDB
    LevelDB is a fast, lightweight, open-source key–value storage library developed by Google, designed for high-performance reads and writes using a log-structured merge-tree architecture.
  • B. BSTDB
    BSTDB is a regional multilateral development bank that finances projects to promote economic development and cooperation among Black Sea region member countries.
  • C. RocksDB
    RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
  • D. LSM
    LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
  • E. Yama LSM
    Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefdb82b2081908084a12a58ad3477 completed May 9, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69fefe6c42708190bd893885fc5bc88e completed May 9, 2026, 9:29 a.m.
Created at: April 10, 2026, 3:16 a.m.