Triple

T18325648
Position Surface form Disambiguated ID Type / Status
Subject TIBCO Software E438997 entity
Predicate hasProduct P3585 FINISHED
Object TIBCO EBX
TIBCO EBX is an enterprise master data management and data governance platform that centralizes, manages, and governs critical business data across an organization.
 E438997 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: TIBCO EBX | Statement: [TIBCO Software, hasProduct, TIBCO EBX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TIBCO EBX
Context triple: [TIBCO Software, hasProduct, TIBCO EBX]
  • A. TIBCO Software
    TIBCO Software is an enterprise software company known for its real-time data integration, analytics, and event-processing solutions for businesses.
  • B. Ebixa
    Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
  • C. ESB
    ESB is a flagship premium bitter ale produced by Fuller’s Griffin Brewery in London, renowned for its rich, malty character and multiple award wins.
  • D. ESB
    ESB is the vehicle registration code used on license plates for the Neustadt an der Waldnaab district in Bavaria, Germany.
  • E. ESB
    ESB is the IATA airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
  • 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: TIBCO EBX
Triple: [TIBCO Software, hasProduct, TIBCO EBX]
Generated description
TIBCO EBX is an enterprise master data management and data governance platform that centralizes, manages, and governs critical business data across an organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TIBCO EBX
Target entity description: TIBCO EBX is an enterprise master data management and data governance platform that centralizes, manages, and governs critical business data across an organization.
  • A. TIBCO Software chosen
    TIBCO Software is an enterprise software company known for its real-time data integration, analytics, and event-processing solutions for businesses.
  • B. Ebixa
    Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
  • C. ESB
    ESB is the vehicle registration code used on license plates for the Neustadt an der Waldnaab district in Bavaria, Germany.
  • D. ESB
    ESB is a flagship premium bitter ale produced by Fuller’s Griffin Brewery in London, renowned for its rich, malty character and multiple award wins.
  • E. ESB
    ESB is the IATA airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aaa66ac819082ec718e8329e0cc completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4ca13c881909d74489622f3a9a9 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c5a12da88190babe36d475b54994 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 10, 2026, 10:36 a.m.