Triple

T22650743
Position Surface form Disambiguated ID Type / Status
Subject Vue 3 ecosystem libraries E559083 entity
Predicate includes P1393 FINISHED
Object Pinia NE NERFINISHED

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: Pinia | Statement: [Vue 3 ecosystem libraries, includes, Pinia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinia
Context triple: [Vue 3 ecosystem libraries, includes, Pinia]
  • A. Pinia chosen
    Pinia is the official state management library for Vue.js, offering a lightweight, modular, and TypeScript-friendly alternative to Vuex.
  • B. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • C. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • D. Piron
    Piron is a French surname most notably associated with figures such as 18th-century playwright Alexis Piron.
  • E. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703c5538819089d9b5349f26ea6d completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.