Triple

T804379
Position Surface form Disambiguated ID Type / Status
Subject Haredi Jews E17195 entity
Predicate populationCenter P2106 FINISHED
Object Madeira E15891 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: Madeira | Statement: [Haredi Jews, populationCenter, Madeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeira
Context triple: [Haredi Jews, populationCenter, Madeira]
  • A. Madeira chosen
    Madeira is a Portuguese archipelago in the North Atlantic Ocean known for its rugged volcanic landscapes, mild subtropical climate, and namesake fortified wine.
  • B. Azores
    The Azores are a remote Portuguese archipelago in the North Atlantic Ocean, known for their volcanic landscapes, lush greenery, and mild maritime climate.
  • C. Tavira Island
    Tavira Island is a scenic barrier island off the Algarve coast of southern Portugal, known for its long sandy beaches, dunes, and protected natural habitats.
  • D. Santa Maria Island
    Santa Maria Island is the southernmost island of Portugal’s Azores archipelago, known for its warmer, drier climate and distinctive white-sand beaches.
  • E. Canary Islands
    The Canary Islands are a Spanish archipelago off the northwest coast of Africa, known for their volcanic landscapes, subtropical climate, and popularity as a tourist destination.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabebff08190880e4876ff58bcfe completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c00e3fb48190a242264358413b05 completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:38 p.m.