Triple

T5894543
Position Surface form Disambiguated ID Type / Status
Subject Pinia E131071 entity
Predicate name P16 FINISHED
Object Pinia E131071 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: Pinia | Statement: [Pinia, name, Pinia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinia
Context triple: [Pinia, name, 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. Poco
    Poco is an American country rock band formed in the late 1960s, known as a pioneering group in the development of the country rock genre.
  • E. Pajaka
    Pajaka is a small village in Karnataka, India, best known as the birthplace of the Dvaita Vedanta philosopher Madhvacharya and a site of religious pilgrimage.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f220dc8190ad553d33de4e2ecd completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.