Triple

T900149
Position Surface form Disambiguated ID Type / Status
Subject Róbert E19427 entity
Predicate shortForm P43 FINISHED
Object Róbi E108912 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: Róbi | Statement: [Róbert, shortForm, Róbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Róbi
Context triple: [Róbert, shortForm, Róbi]
  • A. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • B. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • C. Robin chosen
    Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
  • D. Robina
    Robina is a master-planned residential and commercial suburb on the Gold Coast in Queensland, Australia, known for its large shopping centre and modern urban design.
  • E.
    Ró is a shortened given name or nickname derived from the name Róbert.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad42ecac81909f8bc554d2fe0363 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee02a21c819088e6a137ea306efd completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:39 p.m.