Triple

T16691403
Position Surface form Disambiguated ID Type / Status
Subject Mu Center E405600 entity
Predicate launchVehicleSupported P30131 FINISHED
Object Epsilon
Epsilon is a Japanese solid-fuel orbital launch vehicle developed by JAXA for launching small satellites.
 E1229055 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: Epsilon | Statement: [Mu Center, launchVehicleSupported, Epsilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Epsilon
Context triple: [Mu Center, launchVehicleSupported, Epsilon]
  • A. Epsilon
    Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
  • B. Epsilon
    Epsilon is a programmable text editor similar to Emacs, known for its powerful customization features and support for multiple programming languages.
  • C. Epsilon
    Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
  • D. Epsilon I
    Epsilon I is an automotive platform developed by General Motors for front-wheel-drive and all-wheel-drive mid-size vehicles.
  • E. Zeta
    Zeta is a historical region in present-day Montenegro that once formed a medieval principality and early state precursor to the country.
  • 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: Epsilon
Triple: [Mu Center, launchVehicleSupported, Epsilon]
Generated description
Epsilon is a Japanese solid-fuel orbital launch vehicle developed by JAXA for launching small satellites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Epsilon
Target entity description: Epsilon is a Japanese solid-fuel orbital launch vehicle developed by JAXA for launching small satellites.
  • A. Epsilon
    Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
  • B. Epsilon
    Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
  • C. Epsilon
    Epsilon is a programmable text editor similar to Emacs, known for its powerful customization features and support for multiple programming languages.
  • D. Epsilon I
    Epsilon I is an automotive platform developed by General Motors for front-wheel-drive and all-wheel-drive mid-size vehicles.
  • E. Zeta
    Zeta is a historical region in present-day Montenegro that once formed a medieval principality and early state precursor to the country.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea99bac8190a6c559ed7b7d8ecd completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091984dcc8190b0b20d2e57bc3a11 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a0092244d788190b24f56f0b166dc20 completed May 10, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_6a00929d803881908d0bb6c566cd112a completed May 10, 2026, 2:13 p.m.
Created at: April 10, 2026, 5:19 a.m.