Triple

T5360465
Position Surface form Disambiguated ID Type / Status
Subject Maria E103006 entity
Predicate usedInLanguage P907 FINISHED
Object Esperanto E2739 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: Esperanto | Statement: [Maria, usedInLanguage, Esperanto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esperanto
Context triple: [Maria, usedInLanguage, Esperanto]
  • A. Esperanto chosen
    Esperanto is a constructed international auxiliary language created in the late 19th century to facilitate easy and politically neutral communication between speakers of different native languages.
  • B. Esperantology
    Esperantology is the scholarly study of the Esperanto language, including its structure, history, usage, and cultural context.
  • C. Fundamento de Esperanto
    Fundamento de Esperanto is the foundational grammar and reference book that codified the rules of the constructed international language Esperanto, authored by its creator L. L. Zamenhof.
  • D. Esperanto Wikinews
    Esperanto Wikinews is the Esperanto-language edition of the collaborative, free-content news project Wikinews.
  • E. Esperantists
    Esperantists are people who speak or support the international auxiliary language Esperanto and often participate in its global cultural and social community.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf333e785c819092afe751934662f0 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.