Triple

T16093148
Position Surface form Disambiguated ID Type / Status
Subject Maio Municipality E390410 entity
Predicate capital P234 FINISHED
Object Porto Inglês E390409 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 Inglês | Statement: [Maio Municipality, capital, Porto Inglês]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Inglês
Context triple: [Maio Municipality, capital, Porto Inglês]
  • A. Porto Inglês chosen
    Porto Inglês is the main town and port on the Cape Verdean island of Maio, known for its colonial architecture and coastal setting.
  • B. Porto Judeu
    Porto Judeu is a civil parish on Terceira Island in the Azores, Portugal, known for its coastal setting and traditional Azorean character.
  • C. New Lisbon
    New Lisbon is a small town located in Otsego County in central New York State, known for its rural character and scenic countryside.
  • D. Port of Lisbon
    The Port of Lisbon is a major Atlantic seaport in Portugal that serves as a key hub for maritime trade, passenger traffic, and logistics in the Iberian Peninsula.
  • E. Mancanha
    The Mancanha are an ethnic group of West Africa, primarily found in Guinea-Bissau, known for their distinct language and cultural traditions closely related to those of the Manjaco people.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb973c88819091fe284420088e7e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.