Triple

T20496119
Position Surface form Disambiguated ID Type / Status
Subject Begoña Palacios E502877 entity
Predicate familyName P18 FINISHED
Object Palacios NE NERFINISHED

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: Palacios | Statement: [Begoña Palacios, familyName, Palacios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palacios
Context triple: [Begoña Palacios, familyName, Palacios]
  • A. Palacios chosen
    Palacios is a Spanish surname historically associated with Venezuelan independence figure María de la Concepción Palacios y Blanco, the mother of Simón Bolívar.
  • B. Palacios Nazaríes
    Palacios Nazaríes is the richly decorated Nasrid royal palace complex within the Alhambra in Granada, Spain, renowned for its intricate Islamic art and architecture.
  • C. Los Palacios
    Los Palacios is a Cuban town and municipality known for its agricultural activity within Pinar del Río Province.
  • D. Castillejos
    Castillejos is a municipality in the province of Zambales in the Philippines, known for its agricultural communities and proximity to the Subic Bay area.
  • E. Las Placetas
    Las Placetas is a municipal district within Santiago Province in the Dominican Republic, known as a rural community in the island’s central mountainous region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbdeb9c819090a30a7961146c93 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.