Triple

T2024967
Position Surface form Disambiguated ID Type / Status
Subject Miklós Horthy E44186 entity
Predicate placeOfDeath P21 FINISHED
Object Estoril E154403 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: Estoril | Statement: [Miklós Horthy, placeOfDeath, Estoril]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estoril
Context triple: [Miklós Horthy, placeOfDeath, Estoril]
  • A. Estoril chosen
    Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
  • B. Setúbal, Portugal
    Setúbal, Portugal is a coastal city and municipality south of Lisbon known for its fishing industry, natural harbor, and as the hometown of football manager José Mourinho.
  • C. Costa da Caparica
    Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
  • D. Vila Nova de Gaia, Portugal
    Vila Nova de Gaia is a large city in northern Portugal, located across the Douro River from Porto and renowned for its historic port wine cellars and riverfront.
  • E. Vilamoura
    Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f2cd5c8190b19da6f6aa2001d6 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afa82ac81908c3e3c60c5721536 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.