Triple

T5964272
Position Surface form Disambiguated ID Type / Status
Subject Tilde E132713 entity
Predicate contributedTo P37 FINISHED
Object Yarn E24479 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: Yarn | Statement: [Tilde, contributedTo, Yarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yarn
Context triple: [Tilde, contributedTo, Yarn]
  • A. Yarn 1 (Classic)
    Yarn 1 (Classic) is the original stable release line of the Yarn JavaScript package manager, known for its fast, reliable dependency installation and lockfile-based reproducible builds.
  • B. yarn chosen
    Yarn is a fast, reliable JavaScript package manager that serves as an alternative to npm for managing project dependencies.
  • C. YARN
    YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
  • D. Cotten
    Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
  • E. Weave
    Weave is Google's Internet of Things (IoT) communication platform designed to let smart devices easily discover, connect, and work together across different ecosystems.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3f32e8481908a6075684287c412 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:03 p.m.