Triple

T14633638
Position Surface form Disambiguated ID Type / Status
Subject Fajã de Cima E343545 entity
Predicate partOf P40 FINISHED
Object Ponta Delgada metropolitan area 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 metropolitan area | Statement: [Fajã de Cima, partOf, Ponta Delgada metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponta Delgada metropolitan area
Context triple: [Fajã de Cima, partOf, Ponta Delgada metropolitan area]
  • 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. Coimbra metropolitan area
    The Coimbra metropolitan area is an urban and economic region in central Portugal centered on the historic city of Coimbra and its surrounding municipalities.
  • C. Caldas de Reis
    Caldas de Reis is a historic spa town in Galicia, northwestern Spain, known for its thermal springs and its location along the Camino de Santiago pilgrimage route.
  • D. Figueira da Horta
    Figueira da Horta is a small village located on the island of Maio in Cape Verde.
  • E. Porto-Campanhã
    Porto-Campanhã is the main railway station in Porto, Portugal, serving as a central hub for long-distance and regional train services across the country.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11c81f481909129eef69e47d079 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:26 a.m.