Triple

T7056909
Position Surface form Disambiguated ID Type / Status
Subject Alcázar de Colón E164114 entity
Predicate alsoKnownAs P39 FINISHED
Object Columbus Alcazar E164114 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: Columbus Alcazar | Statement: [Alcázar de Colón, alsoKnownAs, Columbus Alcazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus Alcazar
Context triple: [Alcázar de Colón, alsoKnownAs, Columbus Alcazar]
  • A. Alcázar de Colón chosen
    Alcázar de Colón is a historic early 16th-century Spanish colonial palace and museum, once the residence of Diego Columbus, located in the colonial zone of Santo Domingo.
  • B. Casa de Colón
    Casa de Colón is a historic museum in Las Palmas de Gran Canaria dedicated to the voyages of Christopher Columbus and the Canary Islands’ role in Atlantic exploration.
  • C. Casa de Balboa
    Casa de Balboa is a historic Spanish Colonial Revival-style building in San Diego’s Balboa Park that houses museums and cultural institutions.
  • D. Carondelet Palace
    Carondelet Palace is the historic presidential palace and seat of government located in the center of Quito, Ecuador.
  • E. Castillo de Santa Catalina
    Castillo de Santa Catalina is a historic seaside fortress in Cádiz, Spain, built in the late 16th century to defend the city and now used as a cultural and exhibition space.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e269050c81908c186609a8a7bcf9 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788a303148190869be2a455d28791 completed March 28, 2026, 7:52 a.m.
Created at: March 27, 2026, 2:38 p.m.