Triple

T14208151
Position Surface form Disambiguated ID Type / Status
Subject Carthago Nova E352154 entity
Predicate modernSuccessor P3901 FINISHED
Object Cartagena E156006 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: Cartagena | Statement: [Carthago Nova, modernSuccessor, Cartagena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cartagena
Context triple: [Carthago Nova, modernSuccessor, 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. Cartagena del Chairá
    Cartagena del Chairá is a rural municipality in southern Colombia’s Caquetá Department, known for its Amazonian rainforest environment and history of armed conflict presence.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280c948c8190948e55f1e1874f69 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:05 a.m.