Triple

T10543403
Position Surface form Disambiguated ID Type / Status
Subject Região Sul Fluminense E248752 entity
Predicate majorCity P316 FINISHED
Object Porto Real E461240 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: Porto Real | Statement: [Região Sul Fluminense, majorCity, Porto Real]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Real
Context triple: [Região Sul Fluminense, majorCity, Porto Real]
  • A. Ribeira Grande
    Ribeira Grande is a coastal municipality and city on São Miguel Island in Portugal’s Azores archipelago, known for its historic center, hot springs, and dramatic volcanic landscapes.
  • B. Ribeira Grande
    Ribeira Grande is a coastal town and municipality on the island of Santo Antão in Cape Verde, known for its dramatic mountainous landscapes and traditional Cape Verdean culture.
  • C. Porto Real, Brazil chosen
    Porto Real, Brazil is a municipality in the state of Rio de Janeiro known for its automotive manufacturing hub, including major car assembly plants.
  • D. Porto das Dunas
    Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
  • E. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e68d1288190920c26cbfd396a21 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:32 p.m.