Triple

T7328827
Position Surface form Disambiguated ID Type / Status
Subject Mentor Graphics E168945 entity
Predicate product P490 FINISHED
Object Questa
Questa is a hardware design and verification software suite from Mentor Graphics used for simulating and validating complex digital circuits and systems.
E656350 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: Questa | Statement: [Mentor Graphics, product, Questa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Questa
Context triple: [Mentor Graphics, product, Questa]
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • C. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • D. Zelos
    Zelos is a minor Greek deity personifying zeal, rivalry, and dedication, often associated with the retinue of the god Zeus.
  • E. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • 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: Questa
Triple: [Mentor Graphics, product, Questa]
Generated description
Questa is a hardware design and verification software suite from Mentor Graphics used for simulating and validating complex digital circuits and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Questa
Target entity description: Questa is a hardware design and verification software suite from Mentor Graphics used for simulating and validating complex digital circuits and systems.
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • C. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • D. Zelos
    Zelos is a minor Greek deity personifying zeal, rivalry, and dedication, often associated with the retinue of the god Zeus.
  • E. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a879b88190bef0fb6cbae411ff completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef16f35881909fffba1df072f0d6 completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7ef9665748190bddc45f234af7a7b completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f02f95508190a7b323f3f94e4a0f completed March 28, 2026, 3:13 p.m.
Created at: March 27, 2026, 3:03 p.m.