Triple

T21725035
Position Surface form Disambiguated ID Type / Status
Subject Museo Nacional de Arqueología Subacuática (ARQVA) E536253 entity
Predicate locatedIn P40 FINISHED
Object Cartagena 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: Cartagena | Statement: [Museo Nacional de Arqueología Subacuática (ARQVA), locatedIn, Cartagena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cartagena
Context triple: [Museo Nacional de Arqueología Subacuática (ARQVA), locatedIn, Cartagena]
  • A. Cartagena
    Cartagena is the surname of American rapper and actor Fat Joe, whose full name is Joseph Antonio Cartagena.
  • B. Cartagena, Colombia
    Cartagena, Colombia is a historic Caribbean port city famed for its well-preserved colonial walled old town, vibrant culture, and role as a major tourist and cultural center in Colombia.
  • C. Cartagena, Spain chosen
    Cartagena, Spain is a historic Mediterranean port city in the Murcia region of southeastern Spain, known for its rich Roman and Carthaginian heritage and well-preserved ancient and naval architecture.
  • D. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • E. Santa Marta
    Santa Marta is a metro station in Mexico City that serves passengers on Line A of the city’s rapid transit system.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd9722ce881909372fd0f1b15d242 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.