Triple

T14343286
Position Surface form Disambiguated ID Type / Status
Subject Akka E355653 entity
Predicate includesComponent P1393 FINISHED
Object Akka Persistence
Akka Persistence is a module of the Akka toolkit that enables stateful actors to persist their state and recover it through event sourcing and snapshots for building resilient, fault-tolerant systems.
 E1094370 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: Akka Persistence | Statement: [Akka, includesComponent, Akka Persistence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akka Persistence
Context triple: [Akka, includesComponent, Akka Persistence]
  • A. Kafka Streams
    Kafka Streams is a Java library for building real-time, distributed stream processing applications on top of Apache Kafka.
  • B. Datomic
    Datomic is a distributed database system for Clojure and the JVM that emphasizes immutability, time-aware data, and a powerful Datalog-based query model.
  • C. Apache Kafka
    Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
  • D. RabbitMQ
    RabbitMQ is an open-source message broker that implements the Advanced Message Queuing Protocol (AMQP) to enable reliable, scalable communication between distributed applications and services.
  • E. Apache Samza
    Apache Samza is a distributed stream processing framework designed for scalable, fault-tolerant processing of real-time data streams, often used with Apache Kafka and YARN.
  • 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: Akka Persistence
Triple: [Akka, includesComponent, Akka Persistence]
Generated description
Akka Persistence is a module of the Akka toolkit that enables stateful actors to persist their state and recover it through event sourcing and snapshots for building resilient, fault-tolerant systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akka Persistence
Target entity description: Akka Persistence is a module of the Akka toolkit that enables stateful actors to persist their state and recover it through event sourcing and snapshots for building resilient, fault-tolerant systems.
  • A. Kafka Streams
    Kafka Streams is a Java library for building real-time, distributed stream processing applications on top of Apache Kafka.
  • B. Datomic
    Datomic is a distributed database system for Clojure and the JVM that emphasizes immutability, time-aware data, and a powerful Datalog-based query model.
  • C. Apache Kafka
    Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
  • D. RabbitMQ
    RabbitMQ is an open-source message broker that implements the Advanced Message Queuing Protocol (AMQP) to enable reliable, scalable communication between distributed applications and services.
  • E. Apache Samza
    Apache Samza is a distributed stream processing framework designed for scalable, fault-tolerant processing of real-time data streams, often used with Apache Kafka and YARN.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e89ed9c8190acdb647ee618e919 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469d899081909103563f209dd944 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47fa764c8190b1d691f5847b7a05 completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd492226888190a014b23e506ab19c completed May 8, 2026, 2:23 a.m.
Created at: April 10, 2026, 1:14 a.m.