Triple

T23584513
Position Surface form Disambiguated ID Type / Status
Subject Minas Gerais E582302 entity
Predicate borderWith P224 FINISHED
Object Rio de Janeiro E6266 NE FINISHED

How this triple was built (1 step)

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: Rio de Janeiro | Statement: [Minas Gerais, borderWith, Rio de Janeiro]

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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b02f68288190b348c7558a6a24e1 completed April 29, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e42b5e081908db9b0db7c29bf3d completed May 21, 2026, 9:50 p.m.
Created at: April 17, 2026, 6:40 p.m.