Triple

T16661039
Position Surface form Disambiguated ID Type / Status
Subject Achada do Teixeira E404858 entity
Predicate offersViewOf P3821 FINISHED
Object Pico Ruivo E86839 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 Ruivo | Statement: [Achada do Teixeira, offersViewOf, Pico Ruivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pico Ruivo
Context triple: [Achada do Teixeira, offersViewOf, Pico Ruivo]
  • A. Pico Ruivo chosen
    Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
  • B. 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.
  • C. 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.
  • D. Pico da Antónia
    Pico da Antónia is a prominent volcanic mountain and notable natural landmark on the island of Santiago in Cape Verde.
  • E. Mount Pico de Loro
    Mount Pico de Loro is a prominent hiking and climbing destination in the Philippines known for its distinctive parrot-beak-shaped rock formation and scenic coastal views.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfee5448190bb44c4dadba5dcbd completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b27b88c481909afe9271f70a5c4c completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:18 a.m.