Triple

T14209487
Position Surface form Disambiguated ID Type / Status
Subject Santiago Island E352189 entity
Predicate hasHighestPoint P210 FINISHED
Object Pico da Antónia E485383 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: Pico da Antónia | Statement: [Santiago Island, hasHighestPoint, Pico da Antónia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pico da Antónia
Context triple: [Santiago Island, hasHighestPoint, Pico da Antónia]
  • A. Pico da Antónia chosen
    Pico da Antónia is a prominent volcanic mountain and notable natural landmark on the island of Santiago in Cape Verde.
  • B. Pico do Areeiro
    Pico do Areeiro is one of Madeira Island’s highest and most accessible peaks, renowned for its dramatic mountain scenery and popular hiking routes above the clouds.
  • C. Pico Ruivo
    Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
  • D. Morro do Pico
    Morro do Pico is a prominent volcanic rock formation and iconic natural landmark on Fernando de Noronha, Brazil, known for its steep peak and scenic coastal views.
  • E. Penha
    Penha is a coastal municipality in the state of Santa Catarina in southern Brazil, known for its beaches and the Beto Carrero World theme park.
  • 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_69de61fa8d24819092a8ec5d34c1c799 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.