Triple

T9900328
Position Surface form Disambiguated ID Type / Status
Subject JetBrains Rider E182264 entity
Predicate supportsFramework P9089 FINISHED
Object Mono E182226 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: Mono | Statement: [JetBrains Rider, supportsFramework, Mono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono
Context triple: [JetBrains Rider, supportsFramework, Mono]
  • A. Mono chosen
    Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
  • B. Mono
    Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
  • C. Monolitten
    Monolitten is a famous 14-meter-tall granite sculpture by Gustav Vigeland, carved from a single stone and standing as the central monument in Oslo’s Vigeland Park.
  • D. Monotones
    Monotones is a minimalist, neoclassical ballet choreographed by Frederick Ashton, renowned for its geometric precision and ethereal atmosphere.
  • E. Monotone
    Monotone is a distributed version control system designed for reliability, integrity, and decentralized collaboration, using cryptographic versioning and peer-to-peer synchronization.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e0705c8190bd17e36aff615cdd completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1b9534819093c5150f1ed8f685 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.