Triple

T7303099
Position Surface form Disambiguated ID Type / Status
Subject São Miguel Island E167906 entity
Predicate contains P35 FINISHED
Object Ponta Delgada E68647 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: Ponta Delgada | Statement: [São Miguel Island, contains, Ponta Delgada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponta Delgada
Context triple: [São Miguel Island, contains, Ponta Delgada]
  • A. Ponta Delgada chosen
    Ponta Delgada is the largest city and main economic and administrative center of the Azores archipelago in Portugal, located on the island of São Miguel.
  • B. Figueira da Horta
    Figueira da Horta is a small village located on the island of Maio in Cape Verde.
  • C. Viana do Castelo
    Viana do Castelo is a historic coastal city in northern Portugal, known for its maritime heritage, medieval architecture, and the hilltop Sanctuary of Santa Luzia overlooking the Atlantic Ocean.
  • D. Portimão
    Portimão is a coastal city and popular tourist destination in southern Portugal, known for its beaches, marina, and vibrant waterfront along the Arade River.
  • E. Santiago do Cacém
    Santiago do Cacém is a historic municipality in Portugal’s Alentejo region, known for its medieval castle, Roman ruins at Miróbriga, and rural landscapes.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb2261c8190ae9095c8e110b528 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810c167848190a70f4e43c19f5809 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 3:01 p.m.