Triple

T2916276
Position Surface form Disambiguated ID Type / Status
Subject Tayrona National Natural Park E78614 entity
Predicate nearestCity P350 FINISHED
Object Santa Marta E101556 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: Santa Marta | Statement: [Tayrona National Natural Park, nearestCity, Santa Marta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Marta
Context triple: [Tayrona National Natural Park, nearestCity, Santa Marta]
  • A. Santa Marta chosen
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • 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. Barranquilla
    Barranquilla is a major port city on Colombia’s Caribbean coast, known for its vibrant culture and famous Carnival festival.
  • D. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • E. Cali
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562847488190a0d6b7de99796cd9 completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:53 p.m.