Triple

T14571402
Position Surface form Disambiguated ID Type / Status
Subject José de la Serna e Hinojosa E341921 entity
Predicate hasSurname P18 FINISHED
Object Hinojosa E341921 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: Hinojosa | Statement: [José de la Serna e Hinojosa, hasSurname, Hinojosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinojosa
Context triple: [José de la Serna e Hinojosa, hasSurname, Hinojosa]
  • A. Hinojosa chosen
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • B. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • C. Saltera
    Saltera is a small genus of flowering plants in the family Penaeaceae, native to southern Africa and known for its shrubby habit and tubular flowers.
  • D. Lajares
    Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
  • E. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f33b1c8190bb447788bfd28d51 completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aca591081908db149ec517a999b completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.