Triple

T15882919
Position Surface form Disambiguated ID Type / Status
Subject El Tabo E385117 entity
Predicate locatedNorthOf P305 FINISHED
Object Cartagena E23826 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: [El Tabo, locatedNorthOf, Cartagena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cartagena
Context triple: [El Tabo, locatedNorthOf, Cartagena]
  • A. Cartagena
    Cartagena is the surname of American rapper and actor Fat Joe, whose full name is Joseph Antonio Cartagena.
  • B. Cartagena, Colombia chosen
    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
    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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156173e248190901641d838ecb40f completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95466e08190a967114821651e60 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.