Triple

T18325649
Position Surface form Disambiguated ID Type / Status
Subject TIBCO Software E438997 entity
Predicate hasProduct P3585 FINISHED
Object TIBCO Streaming NE NERFINISHED

How this triple was built (3 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: TIBCO Streaming | Statement: [TIBCO Software, hasProduct, TIBCO Streaming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIBCO Streaming
Context triple: [TIBCO Software, hasProduct, TIBCO Streaming]
  • A. IBM Streams
    IBM Streams is a high-performance stream processing platform that enables real-time ingestion, analysis, and correlation of large-scale data in motion for enterprise applications.
  • B. Apache Kafka
    Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
  • C. 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.
  • D. TIBCO Software
    TIBCO Software is an enterprise software company known for its real-time data integration, analytics, and event-processing solutions for businesses.
  • E. Apache Flink
    Apache Flink is an open-source distributed stream-processing framework designed for high-throughput, low-latency data processing and real-time analytics on large-scale data.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TIBCO Streaming
Target entity description: TIBCO Streaming is a real-time event processing and streaming analytics platform designed to analyze and act on high-volume data streams with low latency.
  • A. IBM Streams
    IBM Streams is a high-performance stream processing platform that enables real-time ingestion, analysis, and correlation of large-scale data in motion for enterprise applications.
  • B. Apache Kafka
    Apache Kafka is a distributed event streaming platform widely used for building real-time data pipelines and streaming applications.
  • C. 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.
  • D. TIBCO Software
    TIBCO Software is an enterprise software company known for its real-time data integration, analytics, and event-processing solutions for businesses.
  • E. Apache Flink
    Apache Flink is an open-source distributed stream-processing framework designed for high-throughput, low-latency data processing and real-time analytics on large-scale data.
  • F. None of above. chosen

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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aaa66ac819082ec718e8329e0cc completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.