Triple

T18768016
Position Surface form Disambiguated ID Type / Status
Subject El Rodadero E458939 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Taganga 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: Taganga | Statement: [El Rodadero, hasNearbyAttraction, Taganga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taganga
Context triple: [El Rodadero, hasNearbyAttraction, Taganga]
  • A. Taganga chosen
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • B. Samil
    Samil is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • C. Damel
    Damel was the royal title borne by the kings of the precolonial Wolof kingdom of Cayor in what is now Senegal.
  • D. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • E. Vaka-i Hayriye
    Vaka-i Hayriye was the 1826 Ottoman military and political upheaval in which Sultan Mahmud II violently abolished the Janissary corps, marking a major step in the empire’s modernization efforts.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d859c8081909cec3aa64d264885 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.