Triple

T16660991
Position Surface form Disambiguated ID Type / Status
Subject Cordillera Central of Madeira E404857 entity
Predicate hasPeak P8205 FINISHED
Object Pico do Areeiro E406959 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 do Areeiro | Statement: [Cordillera Central of Madeira, hasPeak, Pico do Areeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pico do Areeiro
Context triple: [Cordillera Central of Madeira, hasPeak, Pico do Areeiro]
  • A. Pico do Areeiro chosen
    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.
  • B. Pico da Antónia
    Pico da Antónia is a prominent volcanic mountain and notable natural landmark on the island of Santiago in Cape Verde.
  • C. 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.
  • D. Pico Ruivo
    Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
  • E. Serra do Larouco
    Serra do Larouco is a mountainous range in northern Portugal known for its high-altitude landscapes, strong winds, and traditional pastoral activities.
  • 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_6a008a32988c8190a671a4cbd829047a completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.