Triple

T14440734
Position Surface form Disambiguated ID Type / Status
Subject Apache Kafka E358076 entity
Predicate hasComponent P35 FINISHED
Object ZooKeeper (legacy dependency) E185678 NE FINISHED

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: ZooKeeper (legacy dependency) | Statement: [Apache Kafka, hasComponent, ZooKeeper (legacy dependency)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZooKeeper (legacy dependency)
Context triple: [Apache Kafka, hasComponent, ZooKeeper (legacy dependency)]
  • A. Apache ZooKeeper chosen
    Apache ZooKeeper is a centralized service for maintaining configuration information, naming, and distributed synchronization in large-scale distributed systems.
  • B. Zookeeper
    Zookeeper is a 2011 comedy film starring Kevin James as a kindhearted animal caretaker who receives romantic advice from talking zoo animals.
  • C. ZKFailoverController
    ZKFailoverController is an HDFS high-availability component that uses ZooKeeper to coordinate automatic failover between NameNodes.
  • D. Apache Kafka
    Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
  • E. Qpid
    Qpid is an open-source messaging system implementing the AMQP protocol, commonly used as a message broker in distributed and cloud-based applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.