Triple

T4680738
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Seixas E103792 entity
Predicate familyName P18 FINISHED
Object Seixas E526567 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: Seixas | Statement: [Benjamin Seixas, familyName, Seixas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seixas
Context triple: [Benjamin Seixas, familyName, Seixas]
  • A. Seixas chosen
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • B. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • C. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • D. Caldas da Rainha
    Caldas da Rainha is a historic spa and market city in western Portugal, renowned for its thermal baths, ceramics tradition, and proximity to the Atlantic coast.
  • E. Guimarães
    Guimarães is a historic city in northern Portugal often regarded as the birthplace of the Portuguese nation and known for its well-preserved medieval center.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636d306081908ff512896f54cb10 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc60964c08190bcb128946e121bc9 completed March 22, 2026, 10:35 a.m.
Created at: March 20, 2026, 1:16 p.m.