Triple

T7897263
Position Surface form Disambiguated ID Type / Status
Subject System E183368 entity
Predicate providedBy P67 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: [System, providedBy, Mono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono
Context triple: [System, providedBy, 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a296db8819084c620b12f77acb5 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfc1b05481908af081f54bb1914d completed March 31, 2026, 2:52 p.m.
Created at: March 30, 2026, 5:01 p.m.