Triple

T19073311
Position Surface form Disambiguated ID Type / Status
Subject Latin letter J E466844 entity
Predicate usedInLanguage P907 FINISHED
Object Interlingua 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: Interlingua | Statement: [Latin letter J, usedInLanguage, Interlingua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Interlingua
Context triple: [Latin letter J, usedInLanguage, Interlingua]
  • A. Interlingua chosen
    Interlingua is an international auxiliary language designed to be easily understood by speakers of Romance and other European languages through its simplified, widely recognizable vocabulary and grammar.
  • B. Esperanto
    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.
  • C. Latiano
    Latiano is a town and comune in the Apulia region of southern Italy, known for its historic center and agricultural traditions.
  • D. Cimbro
    Cimbro is a small frazione (hamlet) of the municipality of Vergiate in the Lombardy region of northern Italy.
  • E. Luganese
    Luganese is a region in the southern part of the Swiss canton of Ticino centered around the city of Lugano.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e1ce5881908367424c89d73feb completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.